Why we habitually engage in null-hypothesis significance testing: A qualitative study. [PDF]
Stunt J +5 more
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Detecting associated genes for complex traits shared across East Asian and European populations under the framework of composite null hypothesis testing. [PDF]
Qiao J, Shao Z, Wu Y, Zeng P, Wang T.
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Relevance of statistical signif icance in medical research
In order to answer a research question, observations in the form of data are obtained from a sample of individuals or subjects under study. The sample so obtained should be random in nature.
L Satyanarayana, Smita Asthana
doaj
How accurate are Bayes factor-based null hypothesis tests? A simulation study. [PDF]
Schad DJ, Modrák M.
europepmc +1 more source
fbst: An R package for the Full Bayesian Significance Test for testing a sharp null hypothesis against its alternative via the e value. [PDF]
Kelter R.
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Using a null hypothesis framework to test expectations of disparity in an adaptive radiation. [PDF]
Garcia VO +3 more
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Does null hypothesis or significance tests through frequentist statistics answer the requirements of the science in medicine and public health? [PDF]
Raina SK.
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Coconut: covariate-assisted composite null hypothesis testing with applications to replicability analysis of high-throughput experimental data. [PDF]
Li Y, Li Y, Ma H, Yue Z, Zhang X.
europepmc +1 more source
Ready to ROC? A tutorial on simulation-based power analyses for null hypothesis significance, minimum-effect, and equivalence testing for ROC curve analyses. [PDF]
Riesthuis P, Otgaar H, Bücken C.
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