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Public Health Methodologies

        Biostatistics

drrkb@hotmail.com
3/3/2012   Dr. Riaz A. Bhutto   2
3/3/2012   Dr. Riaz A. Bhutto   3
Data
• Data is a collection of facts, such as values or
  measurements.
                          OR
• Data is information that has been translated into
  a form that is more convenient to move or
  process.
                          OR
• Data are any facts, numbers, or text that can be
  processed by a computer.

3/3/2012              Dr. Riaz A. Bhutto              4
Statistics

    Statistics is the study of the collection,
    summarizing, organization, analysis, and
    interpretation of data.




3/3/2012             Dr. Riaz A. Bhutto      5
Vital statistics

    Vital statistics is collecting, summarizing,
    organizing, analysis, presentation, and
    interpretation of data related to vital events
    of life as births, deaths,
    marriages, divorces,
    health & diseases.


3/3/2012              Dr. Riaz A. Bhutto         6
Biostatistics

    Biostatistics is the application of statistical
    techniques to scientific research in health-
    related fields, including medicine, biology,
    and public health.




3/3/2012               Dr. Riaz A. Bhutto         7
Descriptive Statistics
    The term descriptive statistics refers to
    statistics that are used to describe. When
    using descriptive statistics, every member of a
    group or population is measured. A good
    example of descriptive statistics is the Census,
    in which all members of a population are
    counted.



3/3/2012               Dr. Riaz A. Bhutto              8
Inferential or Analytical Statistics

 Inferential statistics are used to draw
 conclusions and make predictions based on the
 analysis of numeric data.




3/3/2012            Dr. Riaz A. Bhutto       9
Types of Data
• Raw or Primary data: when data collected
  having lot of unnecessary, irrelevant & un
  wanted information
• Treated or Secondary data: when we treat &
  remove this unnecessary, irrelevant & un
  wanted information
• Cooked data: when data collected not
  genuinely and is false and fictitious

3/3/2012           Dr. Riaz A. Bhutto          10
Types of Data – cont.
• Ungrouped data: when data presented or observed individually. For
  example if we observed no. of children in 6 families

                               2, 4, 6, 4, 6, 4

• Grouped data: when we grouped the identical data by frequency.
  For example above data of children in 6 families can be grouped as:
                              No. of children      Families
                                      2              1
                                      4              3
                                      6              2

    or alternatively we can make classes:

                           No. of children      Frequency
                                2-4                 4
                                5-7                 2


3/3/2012                          Dr. Riaz A. Bhutto                11
Variable

    A variable is something that can be
    changed, such as a characteristic or value. For
    example age, height, weight, blood pressure
    etc




3/3/2012               Dr. Riaz A. Bhutto         12
Types of Variable
    Independent variable: is typically the
    variable representing the value being
    manipulated or changed. For example
    smoking
    Dependent variable: is the observed result of
    the independent variable being manipulated.
    For example ca of lung
    Confounding variable: is associated with both
    exposure and disease. For example age is
    factor for many events
3/3/2012              Dr. Riaz A. Bhutto        13
3/3/2012   Dr. Riaz A. Bhutto   14
3/3/2012   Dr. Riaz A. Bhutto   15
3/3/2012   Dr. Riaz A. Bhutto   16

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Lec. biostatistics introduction

  • 1. Public Health Methodologies Biostatistics drrkb@hotmail.com
  • 2. 3/3/2012 Dr. Riaz A. Bhutto 2
  • 3. 3/3/2012 Dr. Riaz A. Bhutto 3
  • 4. Data • Data is a collection of facts, such as values or measurements. OR • Data is information that has been translated into a form that is more convenient to move or process. OR • Data are any facts, numbers, or text that can be processed by a computer. 3/3/2012 Dr. Riaz A. Bhutto 4
  • 5. Statistics Statistics is the study of the collection, summarizing, organization, analysis, and interpretation of data. 3/3/2012 Dr. Riaz A. Bhutto 5
  • 6. Vital statistics Vital statistics is collecting, summarizing, organizing, analysis, presentation, and interpretation of data related to vital events of life as births, deaths, marriages, divorces, health & diseases. 3/3/2012 Dr. Riaz A. Bhutto 6
  • 7. Biostatistics Biostatistics is the application of statistical techniques to scientific research in health- related fields, including medicine, biology, and public health. 3/3/2012 Dr. Riaz A. Bhutto 7
  • 8. Descriptive Statistics The term descriptive statistics refers to statistics that are used to describe. When using descriptive statistics, every member of a group or population is measured. A good example of descriptive statistics is the Census, in which all members of a population are counted. 3/3/2012 Dr. Riaz A. Bhutto 8
  • 9. Inferential or Analytical Statistics Inferential statistics are used to draw conclusions and make predictions based on the analysis of numeric data. 3/3/2012 Dr. Riaz A. Bhutto 9
  • 10. Types of Data • Raw or Primary data: when data collected having lot of unnecessary, irrelevant & un wanted information • Treated or Secondary data: when we treat & remove this unnecessary, irrelevant & un wanted information • Cooked data: when data collected not genuinely and is false and fictitious 3/3/2012 Dr. Riaz A. Bhutto 10
  • 11. Types of Data – cont. • Ungrouped data: when data presented or observed individually. For example if we observed no. of children in 6 families 2, 4, 6, 4, 6, 4 • Grouped data: when we grouped the identical data by frequency. For example above data of children in 6 families can be grouped as: No. of children Families 2 1 4 3 6 2 or alternatively we can make classes: No. of children Frequency 2-4 4 5-7 2 3/3/2012 Dr. Riaz A. Bhutto 11
  • 12. Variable A variable is something that can be changed, such as a characteristic or value. For example age, height, weight, blood pressure etc 3/3/2012 Dr. Riaz A. Bhutto 12
  • 13. Types of Variable Independent variable: is typically the variable representing the value being manipulated or changed. For example smoking Dependent variable: is the observed result of the independent variable being manipulated. For example ca of lung Confounding variable: is associated with both exposure and disease. For example age is factor for many events 3/3/2012 Dr. Riaz A. Bhutto 13
  • 14. 3/3/2012 Dr. Riaz A. Bhutto 14
  • 15. 3/3/2012 Dr. Riaz A. Bhutto 15
  • 16. 3/3/2012 Dr. Riaz A. Bhutto 16