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philosophy of statistics
philosophy of science
replication crisis
p-values
severity
severe testing
error statistics
statistical inference
statistics
significance tests
likelihood principle
deborah mayo
r. a. fisher
foundations of statistics
statistical significance tests
bayes factors
replicability
role of probability in inference
error probabilities
neyman-pearson
statistical methodology
asa 2016 statement on p-values
reproducibility
confidence intervals
evidence
induction
statistical reforms
statistics wars
replication paradox
biasing selection effects
big data
bayesian inference
j. neyman
lse ph500
d. mayo
richard royall
falsification
reformulation of statistical tests
experimental philosophy
fisher
psychology
association for psychological science (aps) 2015 c
higgs boson
sir david cox
frequentist statistics
popper
problem of induction
replication reforms
modeling
casual inference
asa
e. pearson
asa task force statement 2021
error control
aris spanos
stephen senn
duality of tests & confidence intervals (cis)
data-dredging
testing reasoning
higgs discovery
severity vs. rubbing off
capabilities of methods
capability & severity
non-rejection
fallacies of rejection
statistical inference as severe testing
fisherian tests
likelihood
bernoulli trials
meta-methodology
roles of probability in inference
default priors
stopping rules
revised role of error probabilities
jeffreys-lindley paradox
statistics war
double-counting
selection effects
american statistical association
calibration
bayesian statistics
error statistics statistical inference
significance testing
reproducibility psychology
confirmation
repligate
bayesian vs frequentist statistics
reliability
frequentist inference
background assumptions
logic
philosophy & practice
bayesianism
methodological probability
probativeness
research methods
statistical testing
statistical testing in psych
statistical philosophy
statistical analysis
theoretical statistics
foundations
disclaimers
malfunction
errors
gatekeepers
jon williamson
associations
fallacious inferences
evidential plualism
stephan guttinger
evidential pluralism
abolish qrps
grp-qrps-fraud
local methodology
local inference
changing methodology
qrps
questionable research practice
best measures vary
don't ban tools
use tools correctly
methods & theories
fanelli
information-compression logic
meta-research
meta-science
meta-analysis
complexity
right question
simulations
mixed models
math literally vs. researchers
transparency
invalid inference
mathematical abstractions
keynes
margherita harris
ipcc
weight of evidence
misspecification testing
2 cultures
economics
machine learning
bonferroni
subgroup analyzes
prior probabilities
gwas
multiplicity in science
james o. berger
cmu
multiple hypothesis tests
graphical model searches
regression
data dredging
clark glymour
psa 2022
suzanne thornton
min-ge xie
frequentists inference
credible intervals
confidence distributions
texas sharpshooter fallacy
psa 22
legitimate data-dredging
multiplicity
nature of probability
likelihood priniciple
r.a.
egon
pearson
neyman
statistical tests'
models
mathematical modeling
c. hennig
replication studies
daniel lakens
nejm guidelines
relevant varability
selective inference
yoav benjamini
statistis wars
skeptical user
fiducial probability
r.a. fisher
socially aware data science
wsl 2019 editorial
wasserstein
replicability & significance
bias
editors role
pradeu
psa 2021
philosophy in science (pins)
lemoine
bibliometrics
gtr
eclipse tests
severe tests
xu
latham & wilson
lab origins
covid-19
registered reports
de groot
meehl
bem
novelty
preregistration
trustworthiness
trust
reproducibility crisis
david hand
default posterior probability
likelihood ratio generous to alternative
matching
contrasting bayes factors
berger and delampady
jeffreys type prior
p-value vs posterior
bent: bad evidence-no test
spike & smear
casella and r. berger
do p-values exaggerate the evidence?
j. berger and sellke
relationship power & sample size
bayes/fisher disagreement
redefine statistical significance
severity interpretation of a rejection test t+
high energy particle physics
o'hagan
lindley
5 sigman effect
fev/sev
new justification for ci
confidence intervals-problems
frequentist feuds
likelihoodists vs. significance testers
fallacies of non-rejection
large sample size
criticisms of p-values
water plant example
3 steps in n-p tests
p-hacking
e. s. pearson
role for probability in statistical inference
erich lehmann
statistics debates
ian hacking
statistics battles
irreplication
diagnostic screening (ds) model of tests
j. berger peace treaty
fisher-neyman & pearson dispute
21 word solution
spurious p-values
fishing
key statistical conflicts
look elsewhere effect (lee)
sev principle for statistical significance
p-value police
fisher's testing principle
statistical fluctuations
5 sigma effect
duality tests & conf. intervals
howlers & chestnuts
sensitivity function
interpreting negative results
large n-problem
sev
frequentist principle of evidence (fev)
hacking
glymour
paradox of irrelevant conjunctions
logic of statistical inference
measures of confirmation
uniformity of nature
justifying induction
asymmetry of falsification
enumerative induction
inductive logicians vs deductive testers
demarcation
carnap
formal epistemology
likelihood ratio
parameter
exercises
affirming the consequent
detach conclusion
categorical syllogism version of modus ponens
deductively valid argument
statistical modus tollens
logic of simple significance tests
soundness
disjunctive syllogism
modus ponens
modus tollens
premises
argument
valid vs. invalid
unification
optional stopping
law of likelihood
bad evidence no test (bent)
statistical crisis in science
psa 2018
likelihood principle violations
large-n problem
esp-bem-bayes
p-values exaggerate
use-constructed
predesignation
severity criterion
novel evidence
biased data
data-driven science
paradigm shift
bright lines
industrialization of the scientific process
epidemiology
intentions
sampling distribution
posterior probability
overstate evidence against the null
pre-registration
biased selection effects
critical challenges-replies
n-p testing
inductive logic
peirce
fidicual
normative epistemology
nancy reid
probativism
workshop on probability and learning
power vs severity post-data
columbia
fallacies of non-statistically significant results
error correction
statistical fallacies
bayes
false positivies
reliablity
exploratory research
role for philosophers
scientific methodology
fraudbusting
connecting statistical claims to causal claims
liklihood principle
nonsignificant results
nhst
technical activism
replication
spanos
spurious correlation
frequentists statistics
p values
statistical foundations
logical flaws
birnbaum
d.
mayo
statisticism
scientism
debunking
smeesters affair
geraerts "memory paper" affair
scientific integrity
data analysis
edwards deming
stan young
phd
failure to replicate
human medical observational studies
auxiliary hypotheses
duhem's problem
mis-specification (m-s) testing
accept/reject procedures
histomorphology
forensic anthropology
fallacies of acceptance and rejection
null hypothesis
inductive inference
severity excel program
power
hypothesis testing
gold standard estimation
central limit theorem
interval estimation
point
estimation
statistical fraud busting
uses of probability
inference
scientific method(s)
probability
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(81)Dokumente
(12)Tags
philosophy of statistics
philosophy of science
replication crisis
p-values
severity
severe testing
error statistics
statistical inference
statistics
significance tests
likelihood principle
deborah mayo
r. a. fisher
foundations of statistics
statistical significance tests
bayes factors
replicability
role of probability in inference
error probabilities
neyman-pearson
statistical methodology
asa 2016 statement on p-values
reproducibility
confidence intervals
evidence
induction
statistical reforms
statistics wars
replication paradox
biasing selection effects
big data
bayesian inference
j. neyman
lse ph500
d. mayo
richard royall
falsification
reformulation of statistical tests
experimental philosophy
fisher
psychology
association for psychological science (aps) 2015 c
higgs boson
sir david cox
frequentist statistics
popper
problem of induction
replication reforms
modeling
casual inference
asa
e. pearson
asa task force statement 2021
error control
aris spanos
stephen senn
duality of tests & confidence intervals (cis)
data-dredging
testing reasoning
higgs discovery
severity vs. rubbing off
capabilities of methods
capability & severity
non-rejection
fallacies of rejection
statistical inference as severe testing
fisherian tests
likelihood
bernoulli trials
meta-methodology
roles of probability in inference
default priors
stopping rules
revised role of error probabilities
jeffreys-lindley paradox
statistics war
double-counting
selection effects
american statistical association
calibration
bayesian statistics
error statistics statistical inference
significance testing
reproducibility psychology
confirmation
repligate
bayesian vs frequentist statistics
reliability
frequentist inference
background assumptions
logic
philosophy & practice
bayesianism
methodological probability
probativeness
research methods
statistical testing
statistical testing in psych
statistical philosophy
statistical analysis
theoretical statistics
foundations
disclaimers
malfunction
errors
gatekeepers
jon williamson
associations
fallacious inferences
evidential plualism
stephan guttinger
evidential pluralism
abolish qrps
grp-qrps-fraud
local methodology
local inference
changing methodology
qrps
questionable research practice
best measures vary
don't ban tools
use tools correctly
methods & theories
fanelli
information-compression logic
meta-research
meta-science
meta-analysis
complexity
right question
simulations
mixed models
math literally vs. researchers
transparency
invalid inference
mathematical abstractions
keynes
margherita harris
ipcc
weight of evidence
misspecification testing
2 cultures
economics
machine learning
bonferroni
subgroup analyzes
prior probabilities
gwas
multiplicity in science
james o. berger
cmu
multiple hypothesis tests
graphical model searches
regression
data dredging
clark glymour
psa 2022
suzanne thornton
min-ge xie
frequentists inference
credible intervals
confidence distributions
texas sharpshooter fallacy
psa 22
legitimate data-dredging
multiplicity
nature of probability
likelihood priniciple
r.a.
egon
pearson
neyman
statistical tests'
models
mathematical modeling
c. hennig
replication studies
daniel lakens
nejm guidelines
relevant varability
selective inference
yoav benjamini
statistis wars
skeptical user
fiducial probability
r.a. fisher
socially aware data science
wsl 2019 editorial
wasserstein
replicability & significance
bias
editors role
pradeu
psa 2021
philosophy in science (pins)
lemoine
bibliometrics
gtr
eclipse tests
severe tests
xu
latham & wilson
lab origins
covid-19
registered reports
de groot
meehl
bem
novelty
preregistration
trustworthiness
trust
reproducibility crisis
david hand
default posterior probability
likelihood ratio generous to alternative
matching
contrasting bayes factors
berger and delampady
jeffreys type prior
p-value vs posterior
bent: bad evidence-no test
spike & smear
casella and r. berger
do p-values exaggerate the evidence?
j. berger and sellke
relationship power & sample size
bayes/fisher disagreement
redefine statistical significance
severity interpretation of a rejection test t+
high energy particle physics
o'hagan
lindley
5 sigman effect
fev/sev
new justification for ci
confidence intervals-problems
frequentist feuds
likelihoodists vs. significance testers
fallacies of non-rejection
large sample size
criticisms of p-values
water plant example
3 steps in n-p tests
p-hacking
e. s. pearson
role for probability in statistical inference
erich lehmann
statistics debates
ian hacking
statistics battles
irreplication
diagnostic screening (ds) model of tests
j. berger peace treaty
fisher-neyman & pearson dispute
21 word solution
spurious p-values
fishing
key statistical conflicts
look elsewhere effect (lee)
sev principle for statistical significance
p-value police
fisher's testing principle
statistical fluctuations
5 sigma effect
duality tests & conf. intervals
howlers & chestnuts
sensitivity function
interpreting negative results
large n-problem
sev
frequentist principle of evidence (fev)
hacking
glymour
paradox of irrelevant conjunctions
logic of statistical inference
measures of confirmation
uniformity of nature
justifying induction
asymmetry of falsification
enumerative induction
inductive logicians vs deductive testers
demarcation
carnap
formal epistemology
likelihood ratio
parameter
exercises
affirming the consequent
detach conclusion
categorical syllogism version of modus ponens
deductively valid argument
statistical modus tollens
logic of simple significance tests
soundness
disjunctive syllogism
modus ponens
modus tollens
premises
argument
valid vs. invalid
unification
optional stopping
law of likelihood
bad evidence no test (bent)
statistical crisis in science
psa 2018
likelihood principle violations
large-n problem
esp-bem-bayes
p-values exaggerate
use-constructed
predesignation
severity criterion
novel evidence
biased data
data-driven science
paradigm shift
bright lines
industrialization of the scientific process
epidemiology
intentions
sampling distribution
posterior probability
overstate evidence against the null
pre-registration
biased selection effects
critical challenges-replies
n-p testing
inductive logic
peirce
fidicual
normative epistemology
nancy reid
probativism
workshop on probability and learning
power vs severity post-data
columbia
fallacies of non-statistically significant results
error correction
statistical fallacies
bayes
false positivies
reliablity
exploratory research
role for philosophers
scientific methodology
fraudbusting
connecting statistical claims to causal claims
liklihood principle
nonsignificant results
nhst
technical activism
replication
spanos
spurious correlation
frequentists statistics
p values
statistical foundations
logical flaws
birnbaum
d.
mayo
statisticism
scientism
debunking
smeesters affair
geraerts "memory paper" affair
scientific integrity
data analysis
edwards deming
stan young
phd
failure to replicate
human medical observational studies
auxiliary hypotheses
duhem's problem
mis-specification (m-s) testing
accept/reject procedures
histomorphology
forensic anthropology
fallacies of acceptance and rejection
null hypothesis
inductive inference
severity excel program
power
hypothesis testing
gold standard estimation
central limit theorem
interval estimation
point
estimation
statistical fraud busting
uses of probability
inference
scientific method(s)
probability
Mehr anzeigen