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American Journal of Pharmaceutical Education, 2017 To the Editor: Since its invention 90 years ago, the p value has become the standard by which most quantitative research is judged; however, it was never intended for this purpose.[1][1] Indeed, a 2016 joint statement by the American Statistical Association argued, “By itself, a p value does ...
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BMC Psychiatry, 2018 Background Despite its popularity as an inferential framework, classical null hypothesis significance testing (NHST) has several restrictions. Bayesian analysis can be used to complement NHST, however, this approach has been underutilized largely due to ...
Daniel S. Quintana, Donald R. Williams
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Talking about Statistical Significance in Numeracy
Numeracy, 2022 In recent years, much debate has surrounded the potential for audiences to be mislead by several common practices when reporting statistical significance tests. Two editors of Numeracy share the journals perspectives on these questions.
Nathan Grawe, Gizem Karaali
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Electronic Journal of Statistics, 2008 Let $(X,Y)$ be a random variable consisting of an observed feature vector $X\in \mathcal{X}$ and an unobserved class label $Y\in \{1,2,...,L\}$ with unknown joint distribution. In addition, let $\mathcal{D}$ be a training data set consisting of $n$ completely observed independent copies of $(X,Y)$.
Dümbgen Lutz +2 more
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REACT to NHST: Sensible conclusions for meaningful hypotheses [PDF]
Tutorials in Quantitative Methods for PsychologyWhile Null Hypothesis Significance Testing (NHST) remains a widely used statistical tool, it suffers from several shortcomings in its common usage, such as conflating statistical and practical significance, the formulation of inappropriate null ...
Izbicki, Rafael +5 more
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Accuracy evaluation of the unified P-value from combining correlated P-values. [PDF]
PLoS ONE, 2014 Meta-analysis methods that combine P-values into a single unified P-value are frequently employed to improve confidence in hypothesis testing. An assumption made by most meta-analysis methods is that the P-values to be combined are independent, which may
Gelio Alves, Yi-Kuo Yu
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Are P values given more importance than they deserve?
Endodontology, 2023 In many of the scientific reports, the conclusions are based on the P values. The results are dichotomized based on the cutoff of P values. Often, the clinical significance is ignored over statistical significance.
Vivek Aggarwal, Mamta Singla
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Multiple testing procedures under positive dependency with block structure
Frontiers in Applied Mathematics and StatisticsThe classical Benjamini–Hochberg (B-H) method, widely used across various disciplines such as genetics, epidemiology, and social sciences, serves as an established procedure for controlling the false discovery rate (FDR) in multiple comparison scenarios.
Nikolay I. Nikolov +5 more
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Optimal Tests for Combining p-Values
Applied Sciences, 2021 Combining information (p-values) obtained from individual studies to test whether there is an overall effect is an important task in statistical data analysis.
Zhongxue Chen
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