Results 31 to 40 of about 583,857 (303)
Introducing alternative-based thresholding for defining functional regions of interest in fMRI [PDF]
, 2017 In fMRI research, one often aims to examine activation in specific functional regions of interest (fROIs). Current statistical methods tend to localize fROIs inconsistently, focusing on avoiding detection of false activation.
Bandettini, Peter A +5 more
core +2 more sources
A Significance Test for Covariates in Nonparametric Regression [PDF]
, 2014 We consider testing the significance of a subset of covariates in a nonparametric regression. These covariates can be continuous and/or discrete.
Lavergne, Pascal +2 more
core +7 more sources
Null hypothesis significance testing and effect sizes: can we 'effect' everything … or … anything?
Current opinion in pharmacology (Print), 2020 The Null Hypothesis Significance Testing (NHST) paradigm is increasingly criticized. Estimation approaches such as point estimates and confidence intervals, while having limitations, provide better descriptions of results than P-values and statements ...
D. Lovell
semanticscholar +1 more source
Indian Dermatology Online Journal, 2019 Biomedical research relies on proving (or disproving) a research hypothesis, and P value becomes a cornerstone of “null hypothesis significance testing.” P value is the maximum probability of getting the observed outcome by chance. For a statistical test
Amrita Sil +2 more
doaj +1 more source
Higher criticism for detecting sparse heterogeneous mixtures [PDF]
, 2004 Higher criticism, or second-level significance testing, is a multiple-comparisons concept mentioned in passing by Tukey. It concerns a situation where there are many independent tests of significance and one is interested in rejecting the joint null ...
Donoho, David, Jin, Jiashun
core +1 more source
Null Hypothesis Significance Testing Defended and Calibrated by Bayesian Model Checking
American Statistician, 2020 Significance testing is often criticized because p-values can be low even though posterior probabilities of the null hypothesis are not low according to some Bayesian models.
D. Bickel
semanticscholar +1 more source
Upsala Journal of Medical Sciences, 2022 Background: The aim was to investigate inferences of statistically significant test results among persons with more or less statistical education and research experience.
Per Lytsy, Mikael Hartman, Ronnie Pingel
doaj +1 more source
, 2017 Wagenmakers et al. addressed the illogic use of p-values in 'Psychological Science under Scrutiny'. While historical criticisms mostly deal with the illogical nature of null hypothesis significance testing (NHST), Wagenmakers et al.
Perezgonzalez, JD
core +2 more sources
American Statistician, 2020 Hypothesis tests are conducted not only to determine whether a null hypothesis (H0) is true but also to determine the direction or sign of an effect. A simple estimate of the posterior probability of a sign error is PSE = (1 – PH0)p/2 + PH0, depending ...
D. Bickel
semanticscholar +1 more source
A Review of Bayesian Hypothesis Testing and Its Practical Implementations
Entropy, 2022 We discuss hypothesis testing and compare different theories in light of observed or experimental data as fundamental endeavors in the sciences. Issues associated with the p-value approach and null hypothesis significance testing are reviewed, and the ...
Zhengxiao Wei +4 more
doaj +1 more source