P-values are misunderstood, but do not confound-Reference-Cited by-同舟云学术

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P-values are misunderstood, but do not confound

Published:2011-09 Issue:9 Volume:64 Page:1047
ISSN:0895-4356
Container-title:Journal of Clinical Epidemiology
language:en
Short-container-title:Journal of Clinical Epidemiology

Author:

Hooper Richard

Publisher

Elsevier BV

Subject

Epidemiology

Reference4 articles.

1. Low P-values exclude nothing, and P-values are no substitute for measures of effect;Stang;J Clin Epidemiol,2011

2. That confounded P-value;Lang;Epidemiology,1998

3. The Bayesian interpretation of a P-value depends only weakly on statistical power in realistic situations;Hooper;J Clin Epidemiol,2009

4. Why most published research findings are false;Ioannidis;PLoS Med,2005

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Statistical tests of significance;Biostatistics Manual for Health Research;2023

2. Thresholds and innovation: discussion on statistical significance;Journal of Clinical Epidemiology;2020-02

3. Reverse-Bayes analysis of two common misinterpretations of significance tests;Clinical Trials;2013-01-17

4. That confounded P-value revisited;Journal of Clinical Epidemiology;2011-09

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