The Bayesian interpretation of a P-value depends only weakly on statistical power in realistic situations-Reference-Cited by-同舟云学术

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The Bayesian interpretation of a P-value depends only weakly on statistical power in realistic situations

Published:2009-12 Issue:12 Volume:62 Page:1242-1247
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

Reference29 articles.

1. Assessing the probability that a positive report is false: an approach for molecular epidemiology studies;Wacholder;J Natl Cancer Inst,2004

2. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls;Wellcome Trust Case Control Consortium;Nature,2007

3. Sifting the evidence—what's wrong with significance tests?;Sterne;BMJ,2001

4. Design and analysis of randomized clinical trials requiring prolonged observation of each patient. I. Introduction and design;Peto;Br J Cancer,1976

5. Are all significant P-values created equal—the analogy between diagnostic-tests and clinical research;Browner;JAMA,1987

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1. 3-month versus 6-month adjuvant chemotherapy for patients with high-risk stage II and III colorectal cancer: 3-year follow-up of the SCOT non-inferiority RCT;Health Technology Assessment;2019-12

2. 3 versus 6 months of adjuvant oxaliplatin-fluoropyrimidine combination therapy for colorectal cancer (SCOT): an international, randomised, phase 3, non-inferiority trial;The Lancet Oncology;2018-04

3. Amygdala response to emotional faces in seasonal affective disorder;Journal of Affective Disorders;2018-03

4. Correction to ‘The reproducibility of research and the misinterpretation of p -values';Royal Society Open Science;2018-03

5. The reproducibility of research and the misinterpretation of p -values;Royal Society Open Science;2017-12

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