Biostatistics

Katalog książek
anglojęzycznych
statystyka medyczna
i biostatystyka
Amerykańskie Towarzystwo Statystyczne ogłosiło rok 2013
Międzynarodowym Rokiem Statystyki. Ogólnoświatowa akcja
ma na celu uczczenie i docenienie osiągnięć nauk statystycznych.
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dziedziny.
Przeglądaj katalog z nowościami i najciekawszymi publikacjami.
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Statystyka medyczna i biostatystyka
2 www.abe.pl
A Handbook of Applied Statistics in
Pharmacology
9781578087525
18.10.2012
Oprawa: twarda
£ 57,99
Katsumi Kobayashi
Statistics plays an important role in pharmacology and related subjects such as
toxicology and drug discovery and development. Improper statistical tool selection
for analyzing the data obtained from studies may result in wrongful interpretation of
the performance or safety of drugs. This book communicates statistical tools in
simple language. The examples used are similar to those that scientists encounter
regularly in their research area. The authors provide cognitive clues for selection of
appropriate tools to analyze the data obtained from the studies and explain how to
interpret the result of the statistical analysis.
Taylor & Francis
A Mathematical Approach to Multilevel,
Multiscale Health Interventions
9781848169968
31.03.2013
Oprawa: twarda
£ 65,00
Rodrick Wallace
This book, based on published studies, takes a unique perspective on the 30-year
collapse of pharmaceutical industry productivity in the search for small molecule
"magic bullet" interventions. The relentless escalation of inflation-adjusted cost per
approved medicine in the United States - from $200 million in 1950 to $1.2 billion in
2010 - has driven industry giants to, at best, slavish imitation in drug design, and at
worst, to abandonment of research and embracing of widespread fraud in
consumer marketing. The book adapts formalism across a number of disciplines to
the strategy for design of mutilevel interventions, focusing, first, on molecular,
cellular, and larger scale examples, and extending the argument to the
simplifications provided by the dominant role of social and cultural structures and
processes in individual and population patterns of health and illness. In place of
"magic bullets", we must now apply "magic strategies" that act across both the
scale and level of organization. This book provides an introductory roadmap to the
new tools that will be needed for the design of such strategies.
World Scientific Publishing
A Practical Guide to Cluster Randomised
Trials in Health Services Research
9780470510476
03.02.2012
Oprawa: twarda
£ 50,00
Sandra Eldridge
Cluster randomisedtrials are trials in which groups (or clusters) of individuals are
randomly allocated to different forms of treatment. In health care, these trials often
compare different ways of managing a disease or promoting healthy living, in
contrast to conventional randomised trials which randomise individuals to different
treatments, classically comparing new drugs with a placebo. They are increasingly
common in health services research. This book addresses the statistical, practical,
and ethical issues arising from allocating groups of individuals, or clusters, to
different interventions. Key features: Guides readers through the stages of
conducting a trial, from recruitment to reporting. Presents a wide range of examples
with particular emphasis on trials in health services research and primary care, with
both principles and techniques explained. Topics are specifically presented in the
order in which investigators think about issues when they are designing a trial.
Combines information on the latest developments in the field together with a
practical guide to the design and implementation of cluster randomised trials.
Wiley
A Statistical Approach to Genetic
Epidemiology
9783527323890
25.03.2010
Oprawa: miękka
£ 65,00
Andreas Ziegler
This is the second edition of the successful textbook written by the prize-winning
scientist Andreas Ziegler, former President of the German Region of the International
Biometric Society, and Inke R. Konig, who has been teaching the subject over many
years. The book gives a comprehensive introduction into the relevant statistical
methods in genetic epidemiology. The second edition is thoroughly revised, partly
rewritten and includes new chapters on traditional family studies and state-of-the-art
genome-wide association studies. The book is ideally suited for advanced students
in epidemiology, genetics, statistics, bioinformatics and biomathematics. Like in the
first edition, the book contains many problems and solutions. E-learning Platform
Edition: The paperback version of this book exclusively comes with an e-learning
course created by Friedrich Pahlke. This e-learning course has been developed to
complement the book and both provide a unique support tool for teaching the
subject.
Wiley
Adaptive and Flexible Clinical Trials
9781439838327
25.08.2011
Oprawa: twarda
£ 59,99
Richard Chin
Adaptive clinical trial designs, unlike traditional fixed clinical trial designs, enable
modification of studies in response to the data generated in the course of the trial.
This often results in studies that are substantially faster, more efficient, and more
powerful. Recent developments in web-based real-time data entry and advances in
statistical methods have made adaptive clinical trials much more popular because
they have become both more practical and attractive. However, there is paucity of
resources that explain the mathematical framework and the practical considerations
for adaptive designs without the use of highly technical statistical jargon. Suitable for
readers in academia, industry, and government involved in drug development,
Adaptive and Flexible Clinical Trials is the first book that comprehensively explains all
essential aspects of adaptive clinical trials. Written in an easy-to-understand style
aimed at clinicians and other non-statisticians, this book focuses not on the
statistical details, but rather on the application of statistical concepts for adaptive
clinical trials.
Taylor & Francis
Adaptive Design Methods in Clinical
Trials
9781439839874
01.12.2011
Oprawa: twarda
£ 59,99
Shein-Chung Chow
With new statistical and scientific issues arising in adaptive clinical trial design,
including the U.S. FDA's recent draft guidance, a new edition of one of the first
books on the topic is needed. Adaptive Design Methods in Clinical Trials, Second
Edition reflects recent developments and regulatory positions on the use of adaptive
designs in clinical trials. It unifies the vast and continuously growing literature and
research activities on regulatory requirements, scientific and practical issues, and
statistical methodology. New to the Second Edition Along with revisions throughout
the text, this edition significantly updates the chapters on protocol amendment and
clinical trial simulation to incorporate the latest changes. It also includes five entirely
new chapters on two-stage adaptive design, biomarker adaptive trials, target clinical
trials, sample size and power estimation, and regulatory perspectives. Following in
the tradition of its acclaimed predecessor, this second edition continues to offer an
up-to-date resource for clinical scientists and researchers in academia, regulatory
agencies, and the pharmaceutical industry.
Taylor & Francis

www.abe.pl 3
Advanced Bayesian Methods for
Medical Test Accuracy
9781439838785
22.07.2011
Oprawa: twarda
£ 94,00
Lyle D. Broemeling
Useful in many areas of medicine and biology, Bayesian methods are particularly
attractive tools for the design of clinical trials and diagnostic tests, which are based
on established information, usually from related previous studies. Advanced
Bayesian Methods for Medical Test Accuracy begins with a review of the usual
measures such as specificity, sensitivity, positive and negative predictive value, and
the area under the ROC curve. Then the scope expands to cover the more
advanced topics of verification bias, diagnostic tests with imperfect gold standards,
and those for which no gold standard is available.
Promoting accuracy and efficiency of clinical trials, tests, and the diagnostic
process, this book:
Enables the user to efficiently apply prior information via a WinBUGS package
Presents many ideas for the first time and goes far beyond the two standard
references
Integrates reader agreement with different modalities—X-ray, CT Scanners, and
more—to study their effect on medical test accuracy
Taylor & Francis
Agricultural Statistical Data Analysis
Using Stata
9781466585850
10.07.2013
Oprawa: miękka
£ 49,99
George Boyhan
Practical statistics is a powerful tool often used by agricultural researchers and
graduate students in investigating experimental design and analysis. One of the
most widely-used statistical analysis software packages for this purpose is Stata.
This book provides an introduction to Stata and its use in agricultural research,
written in a format that is easy to read and user-friendly for beginners. It opens with
a general discussion of statistical software, with additional chapters devoted to data
entry and applications of Stata. More advanced topics include the use of Stata in
regression analysis and in analyzing data that is typically not normally distributed.
Taylor & Francis
Agricultural Survey Methods
9780470743713
13.04.2010
Oprawa: twarda
£ 85,00
Roberto Benedetti
This book brings together the knowledge of academics and experts to increase the
dissemination of the latest developments in agricultural statistics. Conducting a
census, setting up frames and registers and using administrative data for statistical
purposes are covered and issues arising from sample design and estimation, use of
remote sensing, management of data quality and dissemination and analysis of
survey data are explored.
Wiley
An Introduction to Bayesian
Biostatistics
9781439800089
31.10.2010
Oprawa: twarda
£ 49,99
Valen E. Johnson
With discussions on many recent developments in Bayesian methodologies, An
Introduction to Bayesian Biostatistics considers statistical issues in biomedical
research, allowing for greater collaborations between biostatisticians and biomedical
researchers. The text presents biostatistical methods from a Bayesian perspective. It
includes an overview of Bayesian statistics, a discussion of rates and proportions
with applications in clinical and other population-based studies, recent
developments in clinical trial design, methods for evaluating censored data and
diagnostic tests, and problems resulting from multiple comparisons.
Taylor & Francis
An Introduction to Statistics and Data
Analysis for Bioinformatics Using R
9781439892367
17.10.2013
Oprawa: twarda
£ 49,99
Sorin Draghici
From the very basics to linear models, this book provides a complete introduction to
statistics, data analysis, and R for bioinformatics research and applications. It covers
ANOVA, cluster analysis, visualization tools, and machine learning techniques.
Suitable for self-study and courses in computational biology, bioinformatics,
statistics, and the life sciences, the text also presents examples of microarrays and
bioinformatics applications. R code illustrates all of the essential concepts and is
available on an accompanying CD-ROM.
Taylor & Francis
An Introduction to Survival Analysis
Using Stata
9781597180740
06.10.2010
Oprawa: miękka
£ 49,99
Mario Cleves
An Introduction to Survival Analysis Using Stata, Third Edition provides the
foundation to understand various approaches for analyzing time-to-event data. It is
not only a tutorial for learning survival analysis but also a valuable reference for using
Stata to analyze survival data. Although the book assumes knowledge of statistical
principles, simple probability, and basic Stata, it takes a practical, rather than
mathematical, approach to the subject. This updated third edition highlights new
features of Stata 11, including competing-risks analysis and the treatment of missing
values via multiple imputation. Other additions include new diagnostic measures
after Cox regression, Stata's new treatment of categorical variables and interactions,
and a new syntax for obtaining prediction and diagnostics after Cox regression.
After reading this book, you will understand the formulas and gain intuition about
how various survival analysis estimators work and what information they exploit. You
will also acquire deeper, more comprehensive knowledge of the syntax, features,
and underpinnings of Stata's survival analysis routines.
Taylor & Francis

4 www.abe.pl
Analysis of Capture-Recapture Data
9781439836590
15.11.2013
Oprawa: twarda
£ 49,99
Byron J T Morgan (University of Kent, UK
Written for researchers and graduate students in statistics, demography, and the
social sciences, this reference provides an overview of capture-recapture—the
statistical methods used to estimate population size. It covers model development
and examines the technicalities of model diagnostics, an often overlooked aspect in
practice. The authors provide examples to demonstrate the statistical nuances that
are encountered with complex modeling. They use real-world data sets throughout
the text and include stand-alone software programs, such as R and WinBUGS.
Chapters contain exercises to assist with reader assimilation of the material.
Taylor & Francis
Analysis of Mixed Data
9781439884713
30.01.2013
Oprawa: twarda
£ 57,99
Alexander R. De Leon
A comprehensive source on mixed data analysis, Analysis of Mixed Data: Methods
& Applications summarizes the fundamental developments in the field. Case studies
are used extensively throughout the book to illustrate interesting applications from
economics, medicine and health, marketing, and genetics. Carefully edited for
smooth readability and seamless transitions between chapters All chapters follow a
common structure, with an introduction and a concluding summary, and include
illustrative examples from real-life case studies in developmental toxicology,
economics, medicine and health, marketing, and genetics An introductory chapter
provides a "wide angle" introductory overview and comprehensive survey of mixed
data analysis Blending theory and methodology, this book illustrates concepts via
data from different disciplines. Analysis of Mixed Data: Methods & Applications
traces important developments, collates basic results, presents terminology and
methodologies, and gives an overview of statistical research applications. It is a
valuable resource to methodologically interested as well as subject matter-motivated
researchers in many disciplines.
Taylor & Francis
Analysis of Variance for Functional Data
9781439862735
11.07.2013
Oprawa: twarda
£ 63,99
Jin-Ting Zhang
This book presents the updated hypothesis testing methods developed in the last
decade for FDA The subjects include reconstructing functional observations,
Gaussian processes, analysis of variance for functional data, functional linear
models, ill-conditioned functional linear models, diagnostics of functional
observations, variable selection for functional linear models, Behrens-Fisher
problems for functional data, test of equal covariance functions, and surface data
analysis.
Taylor & Francis
Analyzing the Large Number of Variables in
Biomedical and Satellite Imagery
9780470927144
19.04.2011
Oprawa: miękka
£ 43,50
Phillip I. Good
This book grew out of an online interactive offered through statcourse.com , and it
soon became apparent to the author that the course was too limited in terms of time
and length in light of the broad backgrounds of the enrolled students. The
statisticians who took the course needed to be brought up to speed both on the
biological context as well as on the specialized statistical methods needed to handle
large arrays. Biologists and physicians, even though fully knowledgeable concerning
the procedures used to generate microaarrays, EEGs, or MRIs, needed a full
introduction to the resampling methods-the bootstrap, decision trees, and
permutation tests, before the specialized methods applicable to large arrays could
be introduced. As the intended audience for this book consists both of statisticians
and of medical and biological research workers as well as all those research workers
who make use of satellite imagery including agronomists and meteorologists, the
book provides a step-by-step approach to not only the specialized methods needed
to analyze the data from microarrays and images, but also to the resampling
methods, step-down multi-comparison procedures, multivariate analysis, as well
Wiley
...
Applied Bayesian Hierarchical Methods
9781584887201
19.05.2010
Oprawa: twarda
£ 62,99
Peter D. Congdon
Bayesian methods facilitate the analysis of complex models and data structures.
Emphasizing data applications, alternative modeling specifications, and computer
implementation, this book provides a practical overview of methods for Bayesian
analysis of hierarchical models. It focuses on applications in the health and social
sciences, particularly spatial and clinical epidemiology, political science, and
econometrics. The text also covers such topics as Bayesian factor analysis and
includes a range of worked examples in WinBUGS, BayesX, and R. The author
demonstrates not only the flexibility of Bayesian techniques but also the rigor that
can be obtained by using Bayesian model checking techniques.
Taylor & Francis
Applied Biostatistics for the Health
Sciences
9780470147641
13.01.2010
Oprawa: twarda
£ 86,95
Richard J. Rossi
Biostatistics is quickly becoming one of the most important areas of statistics due to
the tremendous increase in health care needs. This book successfully introduces the
terminology, concepts, and correct uses and interpretation of biostatistics. It is ideal
for practitioners as well as students going into health care fields. Pedagogical
features include formulas highlighted in text boxes and chapter summaries that
highlight key vocabulary and concepts for the chapter. An accompanying Web site
provides both MINITAB(r) and Microsoft(r) Office Excel(r) data files data for the case
studies and exercises that are contained in the text.
Wiley

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Applied Linear Models with SAS
9780521761598
10.05.2010
Oprawa: twarda
£ 48,00
Daniel Zelterman
This textbook for a second course in basic statistics for undergraduates or first-year
graduate students introduces linear regression models and describes other linear
models including Poisson regression, logistic regression, proportional hazards
regression, and nonparametric regression. Numerous examples drawn from the
news and current events with an emphasis on health issues illustrate these
concepts. Assuming only a pre-calculus background, the author keeps equations to
a minimum and demonstrates all computations using SAS. Most of the programs
and output are displayed in a self-contained way, with an emphasis on the
interpretation of the output in terms of how it relates to the motivating example.
Plenty of exercises conclude every chapter. All of the datasets and SAS programs
are available from the book's website, along with other ancillary material.
Cambridge University Press
Applied Meta-Analysis with R
9781466505995
09.07.2013
Oprawa: twarda
£ 57,99
Ding-Geng Chen
This book provides a thorough presentation of meta-analysis for clinical trial data
with detailed step-by-step illustrations on implementation in R. The examples are
based on actual experience of the authors in many areas of clinical drug
development. Actual examples of clinical trials are presented and after
understanding the application, the various clinical trial methods inherent in the
clinical trials are identified. Presentation reflects a case study approach with R.
Taylor & Francis
Applied Statistics for Network Biology:
Methods in Systems Biology
9783527327508
20.04.2011
Oprawa: twarda
£ 115,00
Matthias Dehmer
The book introduces to the reader a number of cutting edge statistical methods
which can e used for the analysis of genomic, proteomic and metabolomic data
sets. In particular in the field of systems biology, researchers are trying to analyze as
many data as possible in a given biological system (such as a cell or an organ). The
appropriate statistical evaluation of these large scale data is critical for the correct
interpretation and different experimental approaches require different approaches for
the statistical analysis of these data. This book is written by biostatisticians and
mathematicians but aimed as a valuable guide for the experimental researcher as
well computational biologists who often lack an appropriate background in statistical
analysis.
Wiley
Artificial Neural Networks in Biological
and Environmental Analysis
9781439812587
14.02.2011
Oprawa: twarda
£ 59,99
Grady Hanrahan
Originating from models of biological neural systems, artificial neural networks (ANN)
are the cornerstones of artificial intelligence research. Catalyzed by the upsurge in
computational power and availability, and made widely accessible with the co-
evolution of software, algorithms, and methodologies, artificial neural networks have
had a profound impact in the elucidation of complex biological, chemical, and
environmental processes. Artificial Neural Networks in Biological and Environmental
Analysis provides an in-depth and timely perspective on the fundamental,
technological, and applied aspects of computational neural networks. Presenting
the basic principles of neural networks together with applications in the field, the
book stimulates communication and partnership among scientists in fields as
diverse as biology, chemistry, mathematics, medicine, and environmental science.
This interdisciplinary discourse is essential not only for the success of independent
and collaborative research and teaching programs, but also for the continued
interest in the use of neural network tools in scientific inquiry.
Taylor & Francis
Bayesian Adaptive Methods for Clinical
Trials
9781439825488
20.07.2010
Oprawa: twarda
£ 62,99
Donald A. Berry
Already popular in the analysis of medical device trials, adaptive Bayesian designs
are increasingly being used in drug development for a wide variety of diseases and
conditions, from Alzheimer's disease and multiple sclerosis to obesity, diabetes,
hepatitis C, and HIV. Written by leading pioneers of Bayesian clinical trial designs,
Bayesian Adaptive Methods for Clinical Trials explores the growing role of Bayesian
thinking in the rapidly changing world of clinical trial analysis. The book first
summarizes the current state of clinical trial design and analysis and introduces the
main ideas and potential benefits of a Bayesian alternative. It then gives an overview
of basic Bayesian methodological and computational tools needed for Bayesian
clinical trials. With a focus on Bayesian designs that achieve good power and Type I
error, the next chapters present Bayesian tools useful in early (Phase I) and middle
(Phase II) clinical trials as well as two recent Bayesian adaptive Phase II studies: the
BATTLE and ISPY-2 trials. In the following chapter on late (Phase III) studies, the
authors emphasize modern adaptive methods and seamless Phase II-III trials for
maximizing information usage and minimizing trial duration.
Taylor & Francis
Bayesian Analysis Made Simple: An
Excel GUI for WinBUGS
9781439839546
02.09.2011
Oprawa: twarda
£ 46,99
Phil Woodward
From simple NLMs to complex GLMMs, this book describes how to use the GUI for
WinBUGS - BugsXLA - an Excel add-in written by the author that allows a range of
Bayesian models to be easily specified. With case studies throughout, the text
shows how to routinely apply even the more complex aspects of model
specification, such as GLMMs, outlier robust models, random effects Emax models,
auto-regressive errors, and Bayesian variable selection. It provides brief, up-to-date
discussions of current issues in the practical application of Bayesian methods. The
author also explains how to obtain free software to get started immediately.
Taylor & Francis

6 www.abe.pl
Bayesian Biostatistics
9780470018231
27.07.2012
Oprawa: twarda
£ 45,00
Andrew B. Lawson
The growth of biostatistics has been phenomenal in recent years and has been
marked by considerable technical innovation in both methodology and
computational practicality. One area that has experienced significant growth is
Bayesian methods. The growing use of Bayesian methodology has taken place
partly due to an increasing number of practitioners valuing the Bayesian paradigm
as matching that of scientific discovery. In addition, computational advances have
allowed for more complex models to be fitted routinely to realistic data sets.
Through examples, exercises and a combination of introductory and more advanced
chapters, this book provides an invaluable understanding of the complex world of
biomedical statistics illustrated via a diverse range of applications taken from
epidemiology, exploratory clinical studies, health promotion studies, image analysis
and clinical trials.
Wiley
Bayesian Disease Mapping
9781466504813
24.04.2013
Oprawa: twarda
£ 57,99
Andrew B. Lawson
Since the publication of the first edition, many new Bayesian tools and methods
have been developed for space-time data analysis, the predictive modeling of health
outcomes, and other spatial biostatistical areas. Exploring these new developments,
Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Second
Edition provides an up-to-date, cohesive account of the full range of Bayesian
disease mapping methods and applications. A biostatistics professor and WHO
advisor, the author illustrates the use of Bayesian hierarchical modeling in the
geographical analysis of disease through a range of real-world datasets. New to the
Second Edition Three new chapters on regression and ecological analysis, putative
hazard modeling, and disease map surveillance Expanded material on case event
modeling and spatiotemporal analysis New and updated examples Two new
appendices featuring examples of integrated nested Laplace approximation (INLA)
and conditional autoregressive (CAR) models In addition to these new topics, the
book covers more conventional areas such as relative risk estimation, clustering,
spatial survival analysis, and longitudinal analysis.
Taylor & Francis
Bayesian Inference for Gene Expression
and Proteomics
9781107636989
30.04.2012
Oprawa: miękka
£ 30,00
Kim-Anh Do
The interdisciplinary nature of bioinformatics presents a research challenge in
integrating concepts, methods, software and multiplatform data. Although there
have been rapid developments in new technology and an inundation of statistical
methods for addressing other types of high-throughput data, such as proteomic
profiles that arise from mass spectrometry experiments. This book discusses the
development and application of Bayesian methods in the analysis of high-
throughput bioinformatics data that arise from medical, in particular, cancer
research, as well as molecular and structural biology. The Bayesian approach has
the advantage that evidence can be easily and flexibly incorporated into statistical
methods. A basic overview of the biological and technical principles behind multi-
platform high-throughput experimentation is followed by expert reviews of Bayesian
methodology, tools and software for single group inference, group comparisons,
classification and clustering, motif discovery and regulatory networks, and Bayesian
networks and gene interactions.
Bayesian Methods in Epidemiology
9781466564978
05.11.2013
Oprawa: twarda
£ 57,99
Broemeling
A valuable reference for epidemiologists, biostatisticians, and graduate students,
this book presents an introduction to epidemiology that uses Bayesian statistical
methods to explore the association between disease and risk. It includes a brief
introduction to the concepts of epidemiology, the basic elements of Bayesian
statistics, and the types of epidemiologic studies that can be analyzed by Bayesian
methods. For each problem in epidemiology, the Bayesian analysis is derived and
explained.
Taylor & Francis
Bayesian Methods in Health Economics
9781439895559
16.11.2012
Oprawa: twarda
£ 57,99
Gianluca Baio
Health economics is concerned with the study of the cost-effectiveness of health
care interventions. This book provides an overview of Bayesian methods for the
analysis of health economic data. After an introduction to the basic economic
concepts and methods of evaluation, it presents Bayesian statistics using accessible
mathematics. The next chapters describe the theory and practice of cost-
effectiveness analysis from a statistical viewpoint, and Bayesian computation,
notably MCMC. The final chapter presents three detailed case studies covering cost
-effectiveness analyses using individual data from clinical trials, evidence synthesis
and hierarchical models and Markov models. The text uses WinBUGS and JAGS
with datasets and code available online.
Taylor & Francis
Benefit Risk Analysis in Pharmaceutical
Research and Development
9781439867945
05.09.2013
Oprawa: twarda
£ 57,99
Sashegyi
This work presents an overview of benefit-risk assessment approaches for
pharmaceutical research and development. It covers various decision-making points
along the R&D spectrum that would benefit from benefit risk analysis, including
during lead development and optimization, early and late planning of clinical
development, and regulatory review. The book also looks at health outcomes and
comparative effectiveness analysis. In addition, the authors address current and
future barriers to using risk-benefit modeling, including greater regulatory
acceptance.
Taylor & Francis

www.abe.pl 7
Biosimilars: Design and Analysis of
Follow-on Biologics
9781466579699
23.08.2013
Oprawa: twarda
£ 57,99
Shein-Chung Chow
This is the first book entirely devoted to the design and analysis for assessment of
biosimilarity and drug interchangeability of biosimilars, and test for comparability in
manufacturing processes of biologic products. It covers all of the statistical issues
that may occur in biosimilar studies under various study designs at various stages of
research and development of biologic products.
Taylor & Francis
Biostatistical Analysis
9780132065023
01.08.2007
Oprawa: miękka
£ 56,99
Jerrold H. Zar
Zar's Biostatistical Analysis, Fifth Edition, is the ideal textbook for graduate and
undergraduate students seeking practical coverage of statistical analysis methods
used by researchers to collect, summarize, analyze and draw conclusions from
biological research. The latest edition of this best-selling textbook is both
comprehensive and easy to read. It is suitable as an introduction for beginning
students and as a comprehensive reference book for biological researchers and for
advanced students. This book is appropriate for a one- or two-semester, junior or
graduate-level course in biostatistics, biometry, quantitative biology, or statistics,
and assumes a prerequisite of algebra.
Pearson Education
Biostatistical Methods: The Assessment
of Relative Risks
9780470508220
25.01.2011
Oprawa: twarda
£ 87,50
John M. Lachin
Praise for the First Edition "...an excellent textbook ...an indispensable reference for
biostatisticians and epidemiologists." - International Statistical Institute A new edition
of the definitive guide to classical and modern methods of biostatistics Biostatistics
consists of various quantitative techniques that are essential to the description and
evaluation of relationships among biologic and medical phenomena. Biostatistical
Methods: The Assessment of Relative Risks, Second Edition develops basic
concepts and derives an expanded array of biostatistical methods through the
application of both classical statistical tools and more modern likelihood-based
theories. With its fluid and balanced presentation, the book guides readers through
the important statistical methods for the assessment of absolute and relative risks in
epidemiologic studies and clinical trials with categorical, count, and event-time data.
Presenting a broad scope of coverage and the latest research on the topic, the
author begins with categorical data analysis methods for cross-sectional,
prospective, and retrospective studies of binary, polychotomous, and ordinal data.
Wiley
Biostatistics for the Biological and
Health Sciences
9780321546494
23.11.2007
Oprawa: twarda
£ 69,99
Marc Triola
Biostatistics for the Biological and Health Sciences is the result of collaboration
between the author of the #1 statistics book in the country and an expert in the
biological sciences field. The major objective of this book is to provide the best
possible introduction to statistics for students and professors in the biological, life,
and health sciences. This goal is realized through a friendly writing style, content that
reflects the important features of a modern introductory statistics course, an
abundance of real data and biological applications, and a variety of pedagogical
components to help students succeed in their study of biological statistics.
Pearson Education
Biostatistics in Action
9781439879849
15.09.2013
Oprawa: twarda
£ 57,99
Florin Vaida (University of California, San Diego,
Designed for medical researchers without a background in statistics, this text takes
readers easily from basic boxplots and t-tests to linear and logistic regression and
survival analysis to more complex generalized linear and nonlinear models and
longitudinal data analysis. With many examples and data drawn from real biomedical
research, the book focuses on practical statistical analyses using SPSS. It requires
no prior statistical background and only assumes familiarity with elementary
mathematics. A solutions manual and figures slides are available with qualifying
course adoption.
Taylor & Francis
Biostatistics with R
9781461413011
17.12.2011
Oprawa: miękka
€ 54,95
Babak Shahbaba
Biostatistics with R is designed to mimic the interaction between theory and
application in statistics. Most topics are motivated by real examples first, and after
discussing a topic, the author shows how it can be applied to the problem that
motivated it. Topics include data exploration, estimation, and clustering with two
appendices on installing and running R and R-commander. This author discusses
basic statistical analysis through a series of biological examples using R and R-
Commander as computational tools. The book is intended for a wide range of
readers from people with relatively strong analytical background, who want to learn
about statistics and its application in biology, to non-statistician scientists, who use
statistical methods in their research.
Springer

8 www.abe.pl
Biostatistics: A Computing Approach
9781584888345
09.01.2012
Oprawa: twarda
£ 41,99
Stewart Anderson
The emergence of high-speed computing has facilitated the development of many
exciting statistical and mathematical methods in the last 25 years, broadening the
landscape of available tools in statistical investigations of complex data.
Biostatistics: A Computing Approach focuses on visualization and computational
approaches associated with both modern and classical techniques. Furthermore, it
promotes computing as a tool for performing both analyses and simulations that can
facilitate such understanding. As a practical matter, programs in R and SAS are
presented throughout the text. In addition to these programs, appendices
describing the basic use of SAS and R are provided. Teaching by example, this
book emphasizes the importance of simulation and numerical exploration in a
modern-day statistical investigation. A few statistical methods that can be
implemented with simple calculations are also worked into the text to build insight
about how the methods really work.
Taylor & Francis
Biosurveillance: Methods and Case
Studies
9781439800461
05.11.2010
Oprawa: twarda
£ 62,99
Taha Kass-Hout
Biosurveillance: Methods and Case Studies addresses the problems and promise of
timely biosurveillance, with a particular focus on the role it must play. It describes a
general concept of operations with reference information system architecture and
investigates the primary assumptions that are needed to assure the success of a
biosurveillance initiative. Numerous case studies focus on local, regional, and
national implementation. The book also explores future innovations in
biosurveillance, including advances in analytical methods, modeling, and simulation.
Taylor & Francis
Causal Inference
9781420076165
05.08.2013
Oprawa: twarda
£ 31,99
Miguel A. Hernan
The application of causal inference methods is growing exponentially in fields that
deal with observational data. Written by pioneers in the field, this practical book
presents an authoritative yet accessible overview of the methods and applications of
causal inference. With a wide range of detailed, worked examples using real
epidemiologic data as well as software for replicating the analyses, the text provides
a thorough introduction to the basics of the theory for non-time-varying treatments
and the generalization to complex longitudinal data.
Taylor & Francis
Clinical Trial Data Analysis Using R
9781439840207
17.12.2010
Oprawa: twarda
£ 59,99
Ding-Geng (Din) Chen
Too often in biostatistical research and clinical trials, a knowledge gap exists
between developed statistical methods and the applications of these methods.
Filling this gap, Clinical Trial Data Analysis Using R provides a thorough presentation
of biostatistical analyses of clinical trial data and shows step by step how to
implement the statistical methods using R. The book's practical, detailed approach
draws on the authors' 30 years of real-world experience in biostatistical research
and clinical development. Each chapter presents examples of clinical trials based on
the authors' actual experiences in clinical drug development. Various biostatistical
methods for analyzing the data are then identified. The authors develop analysis
code step by step using appropriate R packages and functions. This approach
enables readers to gain an understanding of the analysis methods and R
implementation so that they can use R to analyze their own clinical trial data. With
step-by-step illustrations of R implementations, this book shows how to easily use R
to simulate and analyze data from a clinical trial.
Taylor & Francis
Clinical Trial Design
9780470581711
09.02.2012
Oprawa: twarda
£ 76,95
Guosheng Yin
A balanced treatment of the theories, methodologies, and design issues involved in
clinical trials using statistical methods There has been enormous interest and
development in Bayesian adaptive designs, especially for early phases of clinical
trials. However, for phase III trials, frequentist methods still play a dominant role
through controlling type I and type II errors in the hypothesis testing framework.
From practical perspectives, Clinical Trial Design: Bayesian and Frequentist Adaptive
Methods provides comprehensive coverage of both Bayesian and frequentist
approaches to all phases of clinical trial design. Before underpinning various
adaptive methods, the book establishes an overview of the fundamentals of clinical
trials as well as a comparison of Bayesian and frequentist statistics. Recognizing
that clinical trial design is one of the most important and useful skills in the
pharmaceutical industry, this book provides detailed discussions on a variety of
statistical designs, their properties, and operating characteristics for phase I, II, and
III clinical trials as well as an introduction to phase IV trials. Many practical issues
and challenges arising in clinical trials are addressed.
Wiley
Clinical Trial Methodology
9781584889175
20.07.2010
Oprawa: twarda
£ 62,99
Karl E. Peace
Drawing from the authors' courses on the subject as well as the first author's more
than 30 years working in the pharmaceutical industry, "Clinical Trial Methodology"
emphasizes the importance of statistical thinking in clinical research and presents
the methodology as a key component of clinical research. From ethical issues and
sample size considerations to adaptive design procedures and statistical analysis,
the book first covers the methodology that spans every clinical trial regardless of the
area of application. Bioequivalence clinical trials are then discussed. The final
chapters incorporate real-world case studies of clinical trials from the authors' own
experiences.
Taylor & Francis

www.abe.pl 9
Clinical Trials Dictionary
9781118295151
28.09.2012
Oprawa: twarda
£ 90,50
Curtis L. Meinert
A thoroughly updated new edition of the essential reference on the design, practice,
and analysis of clinical trials Clinical Trials Dictionary: Terminology and Usage
Recommendations, Second Edition presents clear, precise, meticulously detailed
entries on all aspects of modern-day clinical trials. Written and compiled by one of
the world's leading clinical trialists, this comprehensive volume incorporates areas of
medicine, statistics, epidemiology, computer science, and bioethics--providing a
treasure trove of key terms and ideas. This new edition continues to supply readers
with the A--Z terminology needed to design, conduct, and analyze trials, introducing
a vocabulary for the characterization and description of related features and
activities. More than 300 new entries are now included, reflecting the current usage
practices and conventions in the field, along with usage notes with
recommendations on when to use the term in question. Detailed biographical notes
highlight prominent historical figures and institutions in the field, and an extensive
bibliography has been updated to provide readers with additional resources for
further study.
Wiley
Clinical Trials Handbook
9781118218464
11.12.2012
Oprawa: twarda
£ 100,00
Curtis L. Meinert
The success or failure of clinical trials hinges on hundreds of details that need to be
developed, often under less than ideal conditions. Written by one of the world's
leading trialists, Clinical Trials Handbook: Design and Conduct provides clinicians
with a complete guide to designing, conducting, and evaluating clinical trials—
teaching them how to simplify the process and avoid costly mistakes.
The author draws on his extensive clinical trials experience to outline all steps
employed in setting up and running clinical trials, from budgeting and fundraising to
publishing the results. Along the way, practical advice is offered while also
addressing a mix of logistical, ethical, psychological, behavioral, and administrative
issues inherent to clinical trials. Topics of coverage include:
 Protocols for drug masking, controls, and treatment randomization
 Consent, enrollment, eligibility, and follow-up procedures
 Different types of sample size design and data collection and processing
 Working with study centers, research staff, and various committees
Wiley
Clinical Trials in Oncology
9781439814482
30.05.2012
Oprawa: twarda
£ 63,99
John Crowley
The third edition of the bestselling Clinical Trials in Oncology provides a concise,
nontechnical, and thoroughly up-to-date review of methods and issues related to
cancer clinical trials. The authors emphasize the importance of proper study design,
analysis, and data management and identify the pitfalls inherent in these processes.
In addition, the book has been restructured to have separate chapters and
expanded discussions on general clinical trials issues, and issues specific to Phases
I, II, and III. New sections cover innovations in Phase I designs, randomized Phase II
designs, and overcoming the challenges of array data. Although this book focuses
on cancer trials, the same issues and concepts are important in any clinical setting.
As always, the authors use clear, lucid prose and a multitude of real-world examples
to convey the principles of successful trials without the need for a strong statistics or
mathematics background. Armed with Clinical Trials in Oncology, Third Edition,
clinicians and statisticians can avoid the many hazards that can jeopardize the
success of a trial.
Taylor & Francis
Clustering in Bioinformatics and Drug
Discovery
9781439816783
16.11.2010
Oprawa: twarda
£ 56,99
John David MacCuish
This book presents an introduction to cluster analysis and algorithms in the context
of drug discovery clustering applications. It provides the key to understanding
applications in clustering large combinatorial libraries (in the millions of compounds)
for compound acquisition, HTS results, 3D lead hopping, gene expression for
toxicity studies, and protein reaction data. Bringing together common and emerging
methods, the text covers topics peculiar to drug discovery data, such as
asymmetric measures and asymmetric clustering algorithms as well as clustering
ambiguity and its relation to fuzzy clustering and overlapping clustering algorithms.
Taylor & Francis
Comparing Clinical Measurement
Methods
9780470694237
06.08.2010
Oprawa: twarda
£ 54,95
Bendix Carstensen
This book provides a practical guide to analysis of simple and complex method
comparison data, using Stata, SAS and R. It takes the classical Limits of Agreement
as a starting point, and presents it in a proper statistical framework. The model
serves as a reference for reporting sources of variation and for providing conversion
equations and plots between methods for practical use, including prediction
uncertainty. Presents a modeling framework for analysis of data and reporting of
results from comparing measurements from different clinical centers and/or different
methods. Provides the practical tools for analyzing method comparison studies
along with guidance on what to report and how to plan comparison studies and
advice on appropriate software. Illustrated throughout with computer examples in R.
Supported by a supplementary website hosting an R-package that performs the
major part of the analyses needed in the area. Examples in SAS and Stata for the
most common situations are also provided.
Wiley
Comparing Groups: Randomization and
Bootstrap Methods Using R
9780470621691
01.07.2011
Oprawa: twarda
£ 55,50
Andrew S. Zieffler
A hands-on guide to using R to carry out key statistical practices in educational and
behavioral sciences research Computing has become an essential part of the day-
to-day practice of statistical work, broadening the types of questions that can now
be addressed by research scientists applying newly derived data analytic
techniques. Comparing Groups: Randomization and Bootstrap Methods Using R
emphasizes the direct link between scientific research questions and data analysis.
Rather than relying on mathematical calculations, this book focus on conceptual
explanations and the use of statistical computing in an effort to guide readers
through the integration of design, statistical methodology, and computation to
answer specific research questions regarding group differences. Utilizing the widely-
used, freely accessible R software, the authors introduce a modern approach to
promote methods that provide a more complete understanding of statistical
concepts. Following an introduction to R, each chapter is driven by a research
question, and empirical data analysis is used to provide answers to that question.
Wiley

10 www.abe.pl
Controversial Statistical Issues in
Clinical Trials
9781439849613
22.06.2011
Oprawa: twarda
£ 66,99
Shein-Chung Chow
In clinical trial practice, controversial statistical issues inevitably occur regardless of
the compliance with good statistical practice and good clinical practice. But by
identifying the causes of the issues and correcting them, the study objectives of
clinical trials can be better achieved. Controversial Statistical Issues in Clinical Trials
covers commonly encountered controversial statistical issues in clinical trials and,
whenever possible, makes recommendations to resolve these problems. The book
focuses on issues occurring at various stages of clinical research and development,
including early-phase clinical development (such as bioavailability/bioequivalence),
bench-to-bedside translational research, and late-phase clinical development.
Numerous examples illustrate the impact of these issues on the evaluation of the
safety and efficacy of the test treatment under investigation. The author also offers
recommendations regarding possible resolutions of the problems. Written by one of
the preeminent experts in the field, this book provides a useful desk reference and
state-of-the art examination of problematic issues in clinical trials for scientists in the
pharmaceutical industry, medical/statistical reviewers in government regulatory
Taylor & Francis
...
Correlated Frailty Models in Survival
Analysis
9781420073881
03.08.2010
Oprawa: twarda
£ 69,99
Andreas Wienke
The concept of frailty offers a convenient way to introduce unobserved
heterogeneity and associations into models for survival data. In its simplest form,
frailty is an unobserved random proportionality factor that modifies the hazard
function of an individual or a group of related individuals. Frailty Models in Survival
Analysis presents a comprehensive overview of the fundamental approaches in the
area of frailty models.
The book extensively explores how univariate frailty models can represent
unobserved heterogeneity. It also emphasizes correlated frailty models as
extensions of univariate and shared frailty models. The author analyzes similarities
and differences between frailty and copula models; discusses problems related to
frailty models, such as tests for homogeneity; and describes parametric and
semiparametric models using both frequentist and Bayesian approaches. He also
shows how to apply the models to real data using the statistical packages of R,
SAS, and Stata. The appendix provides the technical mathematical results used
throughout.
Taylor & Francis
Data Analysis and Statistics for Geography,
Environmental Science & Engineering
9781439885017
28.12.2012
Oprawa: twarda
£ 63,99
Miguel F. Acevedo
Providing a solid foundation for twenty-first-century scientists and engineers, Data
Analysis and Statistics for Geography, Environmental Science, and Engineering
guides readers in learning quantitative methodology, including how to implement
data analysis methods using open-source software. Given the importance of
interdisciplinary work in sustainability, the book brings together principles of
statistics and probability, multivariate analysis, and spatial analysis methods
applicable across a variety of science and engineering disciplines. Learn How to Use
a Variety of Data Analysis and Statistics Methods Based on the author's many years
of teaching graduate and undergraduate students, this textbook emphasizes hands-
on learning. Organized into two parts, it allows greater flexibility using the material in
various countries and types of curricula. The first part covers probability, random
variables and inferential statistics, applications of regression, time series analysis,
and analysis of spatial point patterns. The second part uses matrix algebra to
address multidimensional problems.
Taylor & Francis
Data Analysis in Forensic Science
9780470998359
09.04.2010
Oprawa: twarda
£ 55,00
Franco Taroni
This is the first text to examine the use of statistical methods in forensic science and
bayesian statistics in combination. The book is split into two parts: Part One
concentrates on the philosophies of statistical inference. Chapter One examines the
differences between the frequentist, the likelihood and the Bayesian perspectives,
before Chapter Two explores the Bayesian decision-theoretic perspective further,
and looks at the benefits it carries. Part Two then introduces the reader to the
practical aspects involved: the application, interpretation, summary and presentation
of data analyses are all examined from a Bayesian decision-theoretic perspective. A
wide range of statistical methods, essential in the analysis of forensic scientific data
is explored. These include the comparison of allele proportions in populations, the
comparison of means, the choice of sampling size, and the discrimination of items
of evidence of unknown origin into predefined populations. Throughout this practical
appraisal there are a wide variety of examples taken from the routine work of
forensic scientists. These applications are demonstrated in the ever-more popular R
language.
Wiley
Design and Analysis of Bridging Studies
9781439846346
08.08.2012
Oprawa: twarda
£ 63,99
Chin-Fu Hsiao
As the development of medicines has become more globalized, the geographic
variations in the efficacy and safety of pharmaceutical products need to be
addressed. To accelerate the product development process and shorten approval
time, researchers are beginning to design multiregional trials that incorporate
subjects from many countries around the world under the same protocol. Design
and Analysis of Bridging Studies addresses the issues arising from bridging studies
and multiregional clinical trials. For bridging studies, the book explores ethnic
sensitivity, the necessity of bridging studies, types of bridging studies, and the
assessment of similarity between regions based on bridging evidence. For
multiregional clinical trials, the text considers regional differences, assesses the
consistency of treatment effect across regions, and discusses sample size
determination for each region. Taking into account the International Conference
Harmonisation (ICH) E5 framework for bridging studies, the book provides a unified
summary of the growing literature and research activities in this area.
Taylor & Francis
Design and Analysis of Experiments in
the Health Sciences
9780470127278
29.01.2010
Oprawa: twarda
£ 40,50
Gerald Van Belle
An accessible and practical approach to the design and analysis of experiments in
the health sciences Design and Analysis of Experiments in the Health Sciences
provides a balanced presentation of design and analysis issues relating to data in
the health sciences and emphasizes new research areas, the crucial topic of clinical
trials, and state-of-the- art applications. Advancing the idea that design drives
analysis and analysis reveals the design, the book clearly explains how to apply
design and analysis principles in animal, human, and laboratory experiments while
illustrating topics with applications and examples from randomized clinical trials and
the modern topic of microarrays. The authors outline the following five types of
designs that form the basis of most experimental structures: Completely randomized
designs Randomized block designs Factorial designs Multilevel experiments
Repeated measures designs A related website features a wealth of data sets that
are used throughout the book, allowing readers to work hands-on with the material.
In addition, an extensive bibliography outlines additional resources for further study
of the presented topics.
Wiley

www.abe.pl 11
Design and Analysis of Non-inferiority
Trials
9781584888048
13.07.2011
Oprawa: twarda
£ 59,99
Mark D. Rothmann
The increased use of non-inferiority analysis has been accompanied by a
proliferation of research on the design and analysis of non-inferiority studies. "Design
and Analysis of Non-Inferiority Trials" brings together this body of research and
confronts the issues involved in the design of a non-inferiority trial. Using examples
from real clinical trials, the book discusses general and regulatory issues and
illustrates how they affect analysis. Each chapter begins with a non-technical
introduction, so the subject is easily understood by those without prior knowledge of
non-inferiority clinical trials. This book also provides detailed mathematical
approaches along with their mathematical properties.
Taylor & Francis
Design and Analysis of Quality of Life
Studies in Clinical Trials
9781420061178
07.01.2010
Oprawa: twarda
£ 62,99
Diane L. Fairclough
Focusing on longitudinal studies, Design and Analysis of Quality of Life Studies in
Clinical Trials, Second Edition addresses design and analysis aspects in enough
detail so that readers can apply statistical methods, such as mixed effect models, to
their own studies. The author illustrates the implementation of the methods using
the statistical software packages SAS, SPSS, and R.
New to the Second Edition
Data sets available for download online, allowing readers to replicate the analyses
presented in the text
New chapter on testing models that involve moderation and mediation
Revised discussions of multiple comparisons procedures that focus on the
integration of health-related quality of life (HRQoL) outcomes with other study
outcomes using gatekeeper strategies
Recent methodological developments for the analysis of trials with missing data
New chapter on quality adjusted life-years (QALYs) and QTWiST specific to
clinical trials
Taylor & Francis
Design of Experiments and Linear
Regression in the Biological Sciences
9781439808788
05.09.2013
Oprawa: twarda
£ 49,99
Salvador Alejandro Gezan
Written in simple language with relevant examples, this illustrative introductory book
presents best practices in experimental design and simple data analysis. Taking a
practical and intuitive approach, it only uses mathematical formulae to formalize the
methods where necessary and appropriate. The text features extended discussions
of examples that include real data sets arising from research. The authors analyze
data in detail to illustrate the use of basic formulae for simple examples while using
the GenStat(R) statistical package for more complex examples. Each chapter offers
instructions on how to obtain the example analyses in GenStat and R.
Taylor & Francis
Dose Finding by the Continual
Reassessment Method
9781420091519
09.03.2011
Oprawa: twarda
£ 52,99
Ying Kuen Cheung
As clinicians begin to realize the important role of dose-finding in the drug
development process, there is an increasing openness to "novel" methods
proposed in the past two decades. In particular, the Continual Reassessment
Method (CRM) and its variations have drawn much attention in the medical
community, though it has yet to become a commonplace tool. To overcome the
status quo in phase I clinical trials, statisticians must be able to design trials using
the CRM in a timely and reproducible manner. A self-contained theoretical
framework of the CRM for researchers and graduate students who set out to learn
and do research in the CRM and dose-finding methods in general, Dose Finding by
the Continual Reassessment Method features: Real clinical trial examples that
illustrate the methods and techniques throughout the book Detailed calibration
techniques that enable biostatisticians to design a CRM in timely manner Limitations
of the CRM are outlined to aid in correct use of method This book supplies practical,
efficient dose-finding methods based on cutting edge statistical research.
Taylor & Francis
Encyclopaedic Companion to Medical
Statistics
9780470684191
17.12.2010
Oprawa: twarda
£ 65,00
Brian S. Everitt
Statistical methodology is of great importance to medical research and clinical
practice. The Encyclopaedic Companion to Medical Statistics contains readable
accounts of the key topics central to current research and practice. Each entry has
been written by an individual chosen for both their expertise in the field and their
ability to communicate statistical concepts successfully to medical researchers. Real
examples from the biomedical literature and relevant illustrations feature in many
entries and extensive cross-referencing signposts the reader to related entries. Key
Features: Contains accounts of over 400 statistical topics central to current medical
research. 80# of first edition entries updated and revised. Presents the latest
techniques used at the cutting edge of medical research. Covers common errors in
statistical analyses in medicine. Real examples from the biomedical literature and
relevant illustrations feature throughout. Contains contributions from over 70 experts
in the field. Medical researchers, researchers and practitioners in medical research
and statistics will benefit greatly from this book.
Wiley
Encyclopedia of Biopharmaceutical
Statistics
9781439822456
20.05.2010
Oprawa: twarda
£ 540,00
Shein-Chung Chow
Available in both print and online versions, this is the definitive statistics reference for
biopharmaceutical research and manufacturing, presenting current standards and
best practices for the laboratory, manufacturing, and statistical design, investigation,
and analysis. Thoroughly exploring emerging technologies, concepts, and trends,
this second edition incorporates 69 new sections on subjects ranging from in vitro
bioequivalence testing and dissolution profile comparison to bridging studies,
MedDRA, vaccine clinical trials, and medical devices. It reviews recent amendments
to regulatory requirements and presents newer statistical methods applicable to the
drug development, review, and approval processes.
Taylor & Francis

12 www.abe.pl
Encyclopedia of Environmetrics
9780470973882
30.10.2012
Oprawa: twarda
£ 1090,00
Abdel H. El-Shaarawi
This is an expanded and revised edition of an essential reference work for university
libraries, research laboratories, government institutions and consultancies
concerned with the environmental sciences. The Encyclopedia offers comprehensive
coverage of the wide range of topics, techniques and applications that comprise this
multidisciplinary field. Key features of the new edition: * Expanded to six volumes to
reflect developments in Environmetrics techniques and applications during past
decade* Over 60% of articles in this edition are new or revised* A new section:
Environmental Engineering and Technology* Increased breadth and depth of
coverage in key application areas such as climate science and hydrological
processes* Revised and updated treatment of methodology including spatial-
temporal statistics, computational statistics and modeling extremes* Greater
emphasis on practitioner oriented content. Publishing in both print and online the
Encyclopedia will be an invaluable aid to researchers, lecturers, students,
consultants and policymakers engaged in ecological statistics, climate change,
geostatistics, natural resources, risk assessment, environmental health, physical
Wiley
...
Environmental Statistics with R, Second
Edition
9781439810279
17.10.2013
Oprawa: twarda
£ 57,99
Steven P Millard (Consultant, Seattle, Washing-
Condensed and reorganized, this comprehensive second edition covers most of the
statistical methods used in the field and now features the use of both R and S-Plus
software. Continuing to emphasize lognormal distributions, censored data, and
computing, this edition includes additional material on equivalence testing. It also
illustrates environmental sampling designs using the public domain package VSP. In
addition, the authors provide a detailed discussion of spatial mapping procedures
and spatial mapping analysis in R. Along with updated problem sets and new
examples, this edition contains numerous new references that bring the research up
to date.
Taylor & Francis
Epidemiology
9781439839706
06.12.2013
Oprawa: twarda
£ 49,99
Woodward
Building an up-to-date understanding of the methodologies that can be used to
shape public health policies, Epidemiology: Study Design and Data Analysis,
Second Edition encompasses the study of epidemiology from the observation of
associations between risk factors and disease to the use of practical, data-
supported analyses. It presents study designs commonly used for a wide range of
purposes, and covers the spectrum of statistical principles and analytical tools used
in epidemiological research, such as techniques used in report writing, descriptive
analyses, statistical models and synthesis of evidence.
New Material in This Edition Includes:
Systematic evaluation
Meta-analysis
Regression dilution
Case-cohort studies
Case-crossover studies
Taylor & Francis
Epidemiology Foundations: The
Science of Public Health
9780470402894
25.01.2011
Oprawa: miękka
£ 50,00
Peter J. Fos
Epidemiology Foundations is an accessible introduction to epidemiology. This
comprehensive resource covers the topic including information on its foundations,
history, health and disease, descriptive epidemiology, measurement, study designs,
uses, epidemics, social epidemiology, screening, community health, and global
health. This book has been developed to closely respond to recommendations by
the Consensus Conference on Undergraduate Public Health Education and is
designed for use an introductory text for a course in epidemiology or in any class
that features the topic epidemiology.
Wiley
Equivalency and Noninferiority Testing
in Clinical Trials
9781466561496
06.10.2013
Oprawa: twarda
£ 49,99
Tie-Hua Ng
This book focuses on the rationale of choosing the noninferiority (NI) margin as a
small fraction of the therapeutic effect of the active control in a clinical trial. It
discusses issues of estimating the effect size based on historical placebo control
trials of the active control. The book also covers basic concepts related to NI trials,
such as essay sensitivity, constancy assumption, discounting, and preservation.
Other topics described include patient populations, three-arm trials, and testing
equivalence of three or more groups.
Taylor & Francis
Essential Mathematics and Statistics for
Forensic Science
9780470742532
16.04.2010
Oprawa: miękka
£ 27,50
Craig Adam
This text is an accessible, student-friendly introduction to the wide range of
mathematical and statistical tools needed by the forensic scientist in the analysis,
interpretation and presentation of experimental measurements. From a basis of high
school mathematics, the book develops essential quantitative analysis techniques
within the context of a broad range of forensic applications. This clearly structured
text focuses on developing core mathematical skills together with an understanding
of the calculations associated with the analysis of experimental work, including an
emphasis on the use of graphs and the evaluation of uncertainties. Through a broad
study of probability and statistics, the reader is led ultimately to the use of Bayesian
approaches to the evaluation of evidence within the court. In every section, forensic
applications such as ballistics trajectories, post-mortem cooling, aspects of forensic
pharmacokinetics, the matching of glass evidence, the formation of bloodstains and
the interpretation of DNA profiles are discussed and examples of calculations are
worked through. In every chapter there are numerous self-assessment problems to
aid student learning.
Wiley

www.abe.pl 13
Evidence Synthesis for Decision Making
in Healthcare
9780470061091
11.05.2012
Oprawa: twarda
£ 45,00
Alexander J. Sutton
In the evaluation of healthcare, rigorous methods of quantitative assessment are
necessary to establish interventions that are beneficial, are superior to all alternatives
and are cost-effective. Usually one study will not provide answers to these questions
and it will be necessary to synthesize evidence from multiple sources. This book
aims to outline a coherent approach to such evidence synthesis, for the purpose of
decision making. Each chapter contains worked examples, exercises and solutions
drawn from a variety of medical disciplines Evidence Syntesis for Decision Making
intends to provide a practical guide to the appropriate methods for synthesizing
evidence for use in analytical decision models. More specifically, it proposes a
comprehensive evidence synthesis framework, which models all the available data
appropriately and efficiently in a format that can be incorporated directly into a
decision model.
Wiley
Exercises and Solutions in Biostatistical
Theory
9781584887225
02.11.2010
Oprawa: miękka
£ 25,99
Lawrence L. Kupper
Drawn from nearly four decades of Lawrence L. Kupper's teaching experiences as a
distinguished professor in the Department of Biostatistics at the University of North
Carolina, Exercises and Solutions in Biostatistical Theory presents theoretical
statistical concepts, numerous exercises, and detailed solutions that span topics
from basic probability to statistical inference. The text links theoretical biostatistical
principles to real-world situations, including some of the authors' own biostatistical
work that has addressed complicated design and analysis issues in the health
sciences. This classroom-tested material is arranged sequentially starting with a
chapter on basic probability theory, followed by chapters on univariate distribution
theory and multivariate distribution theory. The last two chapters on statistical
inference cover estimation theory and hypothesis testing theory. Each chapter
begins with an in-depth introduction that summarizes the biostatistical principles
needed to help solve the exercises. Exercises range in level of difficulty from fairly
basic to more challenging (identified with asterisks).
Taylor & Francis
Exercises and Solutions in Statistical
Theory
9781466572898
24.05.2013
Oprawa: miękka
£ 38,99
Lawrence L. Kupper
Designed for teaching a course in statistical theory in a variety of disciplines,
including statistics, biostatistics, mathematics, engineering, physics, computer
science, and psychometrics, this book contains two main sections: Probability and
Distribution Theory and Statistical Inference. The first contains exercises and
selected solutions in probability theory, univariate distribution theory, and
multivariate distribution theory. The second contains exercises and selected
solutions in estimation theory and hypothesis testing theory. The exercises vary in
difficulty from basic to intermediate to advanced and solutions for about half the
exercises are included, with a separate solutions manual with detailed solutions
made available for instructors.
Taylor & Francis
Expect the Unexpected: A First Course
in Biostatistics
9789814291323
31.08.2010
Oprawa: twarda
£ 39,00
Raluca Balan
Statistical reasoning and modeling are of critical importance to modern biology. This
textbook introduces fundamental concepts from probability and statistics which will
pave the way for the student of biology to become a well-rounded scientist. No
previous study of probability or statistics is assumed. Calculus topics are not used
extensively in this book, though some integration and differentiation are expected.
The calculus prerequisite is primarily intended to assure a certain level of
mathematical maturity. This book puts emphasis on examples, which are presented
to motivate the theory. The presentation style is concise and self-contained, briefly
including the mathematical elements that are needed for studying probability and
statistics. The examples are relevant to students in the life sciences with interests in
genetics, biology, ecology, health, etc. We believe that aspects of probability theory
are of biological interest and that probability underlies the theory of inferential
statistics. Thus, we place an equal emphasis on probability and statistics which are
both essential for solving and understanding many types of biological problems.
World Scientific Publishing
Exploratory Multivariate Analysis by
Example Using R
9781439835807
17.11.2010
Oprawa: twarda
£ 56,99
Francois Husson
Full of real-world case studies and practical advice, Exploratory Multivariate Analysis
by Example Using R focuses on four fundamental methods of multivariate
exploratory data analysis that are most suitable for applications. It covers principal
component analysis (PCA) when variables are quantitative, correspondence analysis
(CA) and multiple correspondence analysis (MCA) when variables are categorical,
and hierarchical cluster analysis. The authors take a geometric point of view that
provides a unified vision for exploring multivariate data tables. Within this framework,
they present the principles, indicators, and ways of representing and visualizing
objects that are common to the exploratory methods. The authors show how to use
categorical variables in a PCA context in which variables are quantitative, how to
handle more than two categorical variables in a CA context in which there are
originally two variables, and how to add quantitative variables in an MCA context in
which variables are categorical. They also illustrate the methods and the ways they
can be exploited using examples from various fields.
Taylor & Francis
Flexible Imputation of Missing Data
9781439868249
19.04.2012
Oprawa: twarda
£ 57,99
Stef Van Buuren
Missing data form a problem in every scientific discipline, yet the techniques
required to handle them are complicated and often lacking. One of the great ideas in
statistical science—multiple imputation—fills gaps in the data with plausible values,
the uncertainty of which is coded in the data itself. It also solves other problems,
many of which are missing data problems in disguise.
Flexible Imputation of Missing Data is supported by many examples using real data
taken from the author's vast experience of collaborative research, and presents a
practical guide for handling missing data under the framework of multiple
imputation. Furthermore, detailed guidance of implementation in R using the
author’s package MICE is included throughout the book.
Taylor & Francis

14 www.abe.pl
Forward-Time Population Genetics
Simulations
9780470503485
21.04.2010
Oprawa: miękka
£ 60,50
Bo Peng
The rapid increase of the power of personal computers has led to the use of serious
simulation programs such as easy POP in genetic studies. This book summarizes
recent advances in forward-time simulation methods and demonstrates their
applications in population genetics and genetic epidemiology. The authors introduce
commonly used forward-time population genetics simulation methods, including
some new methods, and introduce a forward-time population genetics simulation
environment, simuPOP, as a powerful and flexible tool to implement these
simulations. Researchers and students in population and statistical genetics will find
this book useful.
Wiley
Foundational Statistics for Biologists: A
Textbook with R
9781439873380
15.10.2013
Oprawa: twarda
£ 44,99
Ken A Aho (Idaho State University, Pocatello,
Taking a biological perspective, this text provides an introduction to foundational
topics in science, probability, and mathematical statistics for advanced
undergraduate and graduate students in biology and related fields. It offers
comprehensive background material in probability and mathematical statistics,
emphasizing Bayesian methods and biological applications throughout. The author
discusses relevant issues in the philosophy of science as well as the design of
effective experiments. He also uses an R package specifically developed to
demonstrate ideas presented in the book.
Taylor & Francis
Fundamentals of Clinical Trials
9781441915856
21.09.2010
Oprawa: miękka
€ 52,95
Lawrence M. Friedman
This is the fourth edition of a very successful textbook on clinical trials methodology,
written by three recognized experts who have long and extensive experience in all
areas of clinical trials. Most chapters have been revised considerably from the third
edition. A chapter on ethics has been added and topics such as noninferiority and
adaptive designs now receive considerable discussion. There is much new material
on adverse events, adherence, data monitoring, and issues in analysis. This book is
intended for the clinical researcher who is interested in designing a clinical trial and
developing a protocol. It is also of value to researchers and practitioners who must
critically evaluate the literature of published clinical trials and assess the merits of
each trial and the implications for the care and treatment of patients. The authors
use numerous examples of published clinical trials from a variety of medical
disciplines to illustrate the fundamentals. The text is organized sequentially from
defining the question to trial closeout. One chapter is devoted to each of the critical
areas to aid the clinical trial researcher.
Springer
Gaussian Process Regression Analysis
for Functional Data
9781439837733
05.07.2011
Oprawa: twarda
£ 66,99
Jian Qing Shi
Gaussian Process Regression Analysis for Functional Data presents nonparametric
statistical methods for functional regression analysis, specifically the methods based
on a Gaussian process prior in a functional space. The authors focus on problems
involving functional response variables and mixed covariates of functional and scalar
variables. Covering the basics of Gaussian process regression, the first several
chapters discuss functional data analysis, theoretical aspects based on the
asymptotic properties of Gaussian process regression models, and new
methodological developments for high dimensional data and variable selection. The
remainder of the text explores advanced topics of functional regression analysis,
including novel nonparametric statistical methods for curve prediction, curve
clustering, functional ANOVA, and functional regression analysis of batch data,
repeated curves, and non-Gaussian data. Many flexible models based on Gaussian
processes provide efficient ways of model learning, interpreting model structure, and
carrying out inference, particularly when dealing with large dimensional functional
data.
Taylor & Francis
Generalized Estimating Equations
9781439881132
07.01.2013
Oprawa: twarda
£ 57,99
James W. Hardin
Generalized Estimating Equations, Second Edition updates the best-selling previous
edition, which has been the standard text on the subject since it was published a
decade ago. Combining theory and application, the text provides readers with a
comprehensive discussion of GEE and related models. Numerous examples are
employed throughout the text, along with the software code used to create, run,
and evaluate the models being examined. Stata is used as the primary software for
running and displaying modeling output; associated R code is also given to allow R
users to replicate Stata examples. Specific examples of SAS usage are provided in
the final chapter as well as on the book’s website.
This second edition incorporates comments and suggestions from a variety of
sources, including the Statistics.com course on longitudinal and panel models
taught by the authors. Other enhancements include an examination of GEE marginal
effects; a more thorough presentation of hypothesis testing and diagnostics,
covering competing hierarchical models; and a more detailed examination of
previously discussed subjects.
Taylor & Francis
Generalized Linear Mixed Models
9781439815120
19.10.2012
Oprawa: twarda
£ 57,99
Walter W. Stroup
Generalized Linear Mixed Models: Modern Concepts, Methods and Applications
presents an introduction to linear modeling using the generalized linear mixed model
(GLMM) as an overarching conceptual framework. For readers new to linear models,
the book helps them see the big picture. It shows how linear models fit with the rest
of the core statistics curriculum and points out the major issues that statistical
modelers must consider. Along with describing common applications of GLMMs,
the text introduces the essential theory and main methodology associated with
linear models that accommodate random model effects and non-Gaussian data.
Unlike traditional linear model textbooks that focus on normally distributed data, this
one adopts a generalized mixed model approach throughout: data for linear
modeling need not be normally distributed and effects may be fixed or random. With
numerous examples using SAS(R) PROC GLIMMIX, this book is ideal for graduate
students in statistics, statistics professionals seeking to update their knowledge, and
researchers new to the generalized linear model thought process.
Taylor & Francis

www.abe.pl 15
Generalized Linear Models and
Extensions
9781597181051
06.07.2012
Oprawa: miękka
£ 49,99
James W. Hardin
This book presents a thorough examination of generalized linear model (GLM)
estimation methods as well as the derivation of all major GLM families. Examined
families include Gaussian, gamma, inverse Gaussian, binomial, Poisson, geometric,
and negative binomial. The text also contains various models that have been
developed on the basis of GLM theory, including GAM, ordered binomial models,
multinomial logit and probit models, GEE and other quasi-likelihood models, fixed
and random effects models, and random intercept and random parameter models.
Using Stata, the book offers numerous examples to assist you in applying the
models to your own data situations.
Taylor & Francis
Genomic Clinical Trials and Predictive
Medicine
9781107401358
07.01.2013
Oprawa: miękka
£ 27,99
Richard M. Simon
Genomics is majorly impacting therapeutics development in medicine. This book
contains up-to-date information on the use of genomics in the design and analysis
of therapeutic clinical trials with a focus on novel approaches that provide a reliable
basis for identifying which patients are most likely to benefit from each treatment. It
is oriented to both clinical investigators and statisticians. For clinical investigators, it
includes background information on clinical trial design and statistical analysis. For
statisticians and others who want to go deeper, it covers state-of-the-art adaptive
designs and the development and validation of probabilistic classifiers. The author
describes the development and validation of prognostic and predictive biomarkers
and their integration into clinical trials that establish their clinical utility for informing
treatment decisions for future patients.
Geostatistics: Modeling Spatial
Uncertainty
9780470183151
19.04.2012
Oprawa: twarda
£ 83,50
Jean-Paul Chiles
This second edition of one of the best-selling books on geostatistics provides
through updates from two authoritative authors with over twenty years of experience
in the field. It removes information and data that have lost relevance with time while
maintaining timeless, core methods and integrating them with new developments to
the field. The authors employ an applied focus on new aspects of geostatistics,
including kernal methods, extreme values geostatistics, and modeling in geo-
chronologic space. It can be used as a reference book for geostatisticians,
physicists, and earth scientists in both industry and academia and as a
supplemental text in related couses at the Ph.D level.
Wiley
Handbook of Adaptive Designs in
Pharmaceutical and Clinical Development
9781439810163
27.10.2010
Oprawa: twarda
£ 69,99
Annpey Pong
This comprehensive guide offers a unified presentation of the principles and
methodologies in adaptive design and analysis. It gives a well-balanced summary of
current regulatory perspectives and recently developed statistical methods in this
area. The handbook provides some insight regarding early phase and later phase
adaptive designs. With a focus on the implementation of adaptive methods in clinical
trials, it introduces the concepts of role, responsibility, function, and activity of a data
safety monitoring board (DSMB) when applying these methods. Other important
topics covered in detail include regulatory perspectives and logistics issues in
applying adaptive design methods.
Taylor & Francis
Handbook of Functional MRI Data
Analysis
9780521517669
22.08.2011
Oprawa: twarda
£ 50,00
Russell Alan Poldrack
Functional magnetic resonance imaging (fMRI) has become the most popular
method for imaging brain function. Handbook of Functional MRI Data Analysis
provides a comprehensive and practical introduction to the methods used for fMRI
data analysis. Using minimal jargon, this book explains the concepts behind
processing fMRI data, focusing on the techniques that are most commonly used in
the field. This book provides background about the methods employed by common
data analysis packages including FSL, SPM and AFNI. Some of the newest cutting-
edge techniques, including pattern classification analysis, connectivity modeling and
resting state network analysis, are also discussed. Readers of this book, whether
newcomers to the field or experienced researchers, will obtain a deep and effective
knowledge of how to employ fMRI analysis to ask scientific questions and become
more sophisticated users of fMRI analysis software.
Handbook of Markov Chain Monte
Carlo
9781420079418
13.05.2011
Oprawa: twarda
£ 66,99
Steve Brooks
Since their popularization in the 1990s, Markov chain Monte Carlo (MCMC) methods
have revolutionized statistical computing and have had an especially profound
impact on the practice of Bayesian statistics. Furthermore, MCMC methods have
enabled the development and use of intricate models in an astonishing array of
disciplines as diverse as fisheries science and economics. The wide-ranging
practical importance of MCMC has sparked an expansive and deep investigation
into fundamental Markov chain theory. The Handbook of Markov Chain Monte Carlo
provides a reference for the broad audience of developers and users of MCMC
methodology interested in keeping up with cutting-edge theory and applications.
The first half of the book covers MCMC foundations, methodology, and algorithms.
The second half considers the use of MCMC in a variety of practical applications
including in educational research, astrophysics, brain imaging, ecology, and
sociology. The in-depth introductory section of the book allows graduate students
and practicing scientists new to MCMC to become thoroughly acquainted with the
basic theory, algorithms, and applications.
Taylor & Francis

16 www.abe.pl
Handbook of Spatial Statistics
9781420072877
23.03.2010
Oprawa: twarda
£ 69,99
Alan E. Gelfand
Assembling a collection of very prominent researchers in the field, the Handbook of
Spatial Statistics presents a comprehensive treatment of both classical and state-of-
the-art aspects of this maturing area. It takes a unified, integrated approach to the
material, providing cross-references among chapters. The handbook begins with a
historical introduction detailing the evolution of the field. It then focuses on the three
main branches of spatial statistics: continuous spatial variation (point referenced
data)
Taylor & Francis
Handbook of Statistical Systems
Biology
9780470710869
21.10.2011
Oprawa: twarda
£ 120,00
Michael Stumpf
Systems Biology is now entering a mature phase in which the key issues are
characterising uncertainty and stochastic effects in mathematical models of
biological systems. The area is moving towards a full statistical analysis and
probabilistic reasoning over the inferences that can be made from mathematical
models. This handbook presents a comprehensive guide to the discipline for
practitioners and educators, in providing a full and detailed treatment of these
important and emerging subjects. Leading experts in systems biology and statistics
have come together to provide insight in to the major ideas in the field, and in
particular methods of specifying and fitting models, and estimating the unknown
parameters.
This book:
Provides a comprehensive account of inference techniques in systems biology.
Introduces classical and Bayesian statistical methods for complex systems.
Explores networks and graphical modeling as well as a wide range of statistical
models for dynamical systems.
Wiley
Handbook of Statistics in Clinical
Oncology
9781439862001
04.04.2012
Oprawa: twarda
£ 76,99
John Crowley
Many new challenges have arisen in the area of oncology clinical trials. New cancer
therapies are often based on cytostatic or targeted agents, which pose new
challenges in the design and analysis of all phases of trials. The literature on
adaptive trial designs and early stopping has been exploding. Inclusion of high-
dimensional data and imaging techniques have become common practice, and
statistical methods on how to analyse such data have been refined in this area. A
compilation of statistical topics relevant to these new advances in cancer research,
this third edition of Handbook of Statistics in Clinical Oncology focuses on the
design and analysis of oncology clinical trials and translational research. Addressing
the many challenges that have arisen since the publication of its predecessor, this
third edition covers the newest developments involved in the design and analysis of
cancer clinical trials, incorporating updates to all four parts: Phase I trials: Updated
recommendations regarding the standard 3 + 3 and continual reassessment
approaches, along with new chapters on phase 0 trials and phase I trial design for
targeted agents.
Taylor & Francis
Handbook of Survival Analysis
9781466555662
14.08.2013
Oprawa: twarda
£ 63,99
John P. Klein
This handbook focuses on the analysis of lifetime data arising from the biological
and medical sciences. It deals with semiparametric and nonparametric methods.
For investigators new to this field, the book provides an overview of the topic along
with examples of the methods discussed. It presents both classical methods and
modern Bayesian approaches to the analysis of data.
Taylor & Francis
Handbook of Volatility Models and Their
Applications
9780470872512
27.04.2012
Oprawa: twarda
£ 100,00
Luc Bauwens
Volatility has become a hot topic in this era of instant communications, spawning a
great deal of research in empirical finance and time series econometrics. Providing
an overview of the most recent advances, Handbook of Volatility Models and Their
Applications explores key concepts and topics essential for modeling the volatility of
financial time series, both univariate and multivariate, parametric and non-
parametric, high-frequency and low-frequency.
Featuring contributions from international experts in the field, the book features
numerous examples and applications from real-world projects and cutting-edge
research, showing step by step how to use various methods accurately and
efficiently when assessing volatility rates. Following a comprehensive introduction to
the topic, readers are provided with three distinct sections that unify the statistical
and practical aspects of volatility:
Autoregressive Conditional Heteroskedasticity and Stochastic Volatility presents
ARCH and stochastic volatility models, with a focus on recent research topics
including mean, volatility, and skewness spillovers in equity markets
Wiley
Integrated Microsystems
9781439836200
27.09.2011
Oprawa: twarda
£ 107,00
Krzysztof Iniewski
As rapid technological developments occur in electronics, photonics, mechanics,
chemistry, and biology, the demand for portable, lightweight integrated
microsystems is relentless. These devices are getting exponentially smaller,
increasingly used in everything from video games, hearing aids, and pacemakers to
more intricate biomedical engineering and military applications. Edited by Kris
Iniewski, a revolutionary in the field of advanced semiconductor materials, Integrated
Microsystems: Electronics, Photonics, and Biotechnology focuses on techniques for
optimized design and fabrication of these intelligent miniaturized devices and
systems. Composed of contributions from experts in academia and industry around
the world, this reference covers processes compatible with CMOS integrated
circuits, which combine computation, communications, sensing, and actuation
capabilities. Light on math and physics, with a greater emphasis on microsystem
design and configuration and electrical engineering, this book is organized in three
sections-Microelectronics and Biosystems, Photonics and Imaging, and
Biotechnology and MEMs.
Taylor & Francis

www.abe.pl 17
Interval-Censored Time-to-Event Data:
Methods and Applications
9781466504257
30.07.2012
Oprawa: twarda
£ 63,99
Ding-Geng (Din) Chen
Interval-Censored Time-to-Event Data: Methods and Applications collects the most
recent techniques, models, and computational tools for interval-censored time-to-
event data. Top biostatisticians from academia, biopharmaceutical industries, and
government agencies discuss how these advances are impacting clinical trials and
biomedical research. Divided into three parts, the book begins with an overview of
interval-censored data modeling, including nonparametric estimation, survival
functions, regression analysis, multivariate data analysis, competing risks analysis,
and other models for interval-censored data. The next part presents interval-
censored methods for current status data, Bayesian semiparametric regression
analysis of interval-censored data with monotone splines, Bayesian inferential
models for interval-censored data, an estimator for identifying causal effect of
treatment, and consistent variance estimation for interval-censored data. In the final
part, the contributors use Monte Carlo simulation to assess biases in progression-
free survival analysis as well as correct bias in interval-censored time-to-event
applications.
Taylor & Francis
Introduction to Data Analysis with R for
Forensic Scientists
9781420088267
06.08.2010
Oprawa: twarda
£ 69,99
James Michael Curran
Statistical methods provide a logical, coherent framework in which data from
experimental science can be analyzed. However, many researchers lack the
statistical skills or resources that would allow them to explore their data to its full
potential. Introduction to Data Analysis with R for Forensic Sciences minimizes
theory and mathematics and focuses on the application and practice of statistics to
provide researchers with the dexterity necessary to systematically analyze data
discovered from the fruits of their research.
Using traditional techniques and employing examples and tutorials with real data
collected from experiments, this book presents the following critical information
necessary for researchers:
A refresher on basic statistics and an introduction to R
Considerations and techniques for the visual display of data through graphics
An overview of statistical hypothesis tests and the reasoning behind them
A comprehensive guide to the use of the linear model, the foundation of most
statistics encountered
Taylor & Francis
Introduction to Hierarchical Bayesian
Modeling for Ecological Data
9781584889199
17.09.2012
Oprawa: twarda
£ 57,99
Eric Parent
Making statistical modeling and inference more accessible to ecologists and related
scientists, Introduction to Hierarchical Bayesian Modeling for Ecological Data gives
readers a flexible and effective framework to learn about complex ecological
processes from various sources of data. It also helps readers get started on building
their own statistical models. The text begins with simple models that progressively
become more complex and realistic through explanatory covariates and
intermediate hidden states variables. When fitting the models to data, the authors
gradually present the concepts and techniques of the Bayesian paradigm from a
practical point of view using real case studies. They emphasize how hierarchical
Bayesian modeling supports multidimensional models involving complex interactions
between parameters and latent variables. Data sets, exercises, and R and
WinBUGS codes are available on the authors' website. This book shows how
Bayesian statistical modeling provides an intuitive way to organize data, test ideas,
investigate competing hypotheses, and assess degrees of confidence of
predictions.
Taylor & Francis
Introduction to Protein Structure
Prediction
9780470470596
03.12.2010
Oprawa: twarda
£ 83,50
Huzefa Rangwala
This book helps unravel the relationship of pure sequence information and three-
dimensional structure, which remains one of the great fundamental problems in
molecular biology and bioinformatics. It describes key applications of modeled
structures, focusing on the methods and algorithms that are used to predict protein
structure written by experts who participate in the structure prediction competition.
The book also delivers applications used for predicted models in other studies.
Researchers in bioinformatics and molecular biology will find this text highly useful,
as will students in graduate courses in protein prediction.
Wiley
Introduction to Statistical Data Analysis
for the Life Sciences
9781439825556
22.07.2010
Oprawa: miękka
£ 33,99
Claus Thorn Ekstrom
Any practical introduction to statistics in the life sciences requires a focus on
applications and computational statistics combined with a reasonable level of
mathematical rigor. It must offer the right combination of data examples, statistical
theory, and computing required for analysis today. And it should involve R software,
the lingua franca of statistical computing. Introduction to Statistical Data Analysis for
the Life Sciences covers all the usual material but goes further than other texts to
emphasize: Both data analysis and the mathematics underlying classical statistical
analysis Modeling aspects of statistical analysis with added focus on biological
interpretations Applications of statistical software in analyzing real-world problems
and data sets Developed from their courses at the University of Copenhagen, the
authors imbue readers with the ability to model and analyze data early in the text
and then gradually fill in the blanks with needed probability and statistics theory.
While the main text can be used with any statistical software, the authors encourage
a reliance on R. They provide a short tutorial for those new to the software and
include R commands and output at the end of each chapter.
Taylor & Francis
Introduction to Statistical Limit Theory
9781420076608
14.01.2011
Oprawa: twarda
£ 59,99
Alan M. Polansky
Those moving on to advanced statistics typically lack the mathematical foundation
that allows them to make full use of statistical limit theory. This accessible resource
reviews approximation theory and limit theory for sequences of functions and basic
notions of functional analysis. It provides detailed arguments that show how
underlying mathematical and statistical theory work together. Among its unique
qualities, the text covers expansion theory, which is becoming increasingly important
in modern applications. It also discusses bootstrap, kernel smoothing, and Markov
chain Monte Carlo and includes a wide array of examples and problems from the
fundamental to very advanced.
Taylor & Francis

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