Multiplicity corrections in life sciences: challenges and consequences.

作者信息

Menyhárt Otília, Győrffy Balázs

机构信息

Department of Bioinformatics, Semmelweis University, H-1094 Budapest, Hungary.

Cancer Biomarker Research Group, Institute of Molecular Life Sciences, Research Centre for Natural Sciences, H-1117 Budapest, Hungary.

出版信息

Int J Epidemiol. 2025 Jun 11;54(4). doi: 10.1093/ije/dyaf098.

DOI:10.1093/ije/dyaf098

PMID:40579911

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12205177/

Abstract

摘要

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本文引用的文献

[1]

Approaches to multiplicity in publicly funded pragmatic randomised controlled trials: a survey of clinical trials units and a rapid review of published trials.

BMC Med Res Methodol. 2022-2-6

[2]

Review of pragmatic trials found that multiple primary outcomes are common but so too are discrepancies between protocols and final reports.

J Clin Epidemiol. 2022-3

[3]

Investigating the replicability of preclinical cancer biology.

Elife. 2021-12-7

[4]

Data-Driven Subgroup Identification in Confirmatory Clinical Trials.

Ther Innov Regul Sci. 2022-1

[5]

Characteristics of Randomized Clinical Trials in Surgery From 2008 to 2020: A Systematic Review.

JAMA Netw Open. 2021-6-1

[6]

MultipleTesting.com: A tool for life science researchers for multiple hypothesis testing correction.

PLoS One. 2021

[7]

A systematic review of subgroup analyses in randomised clinical trials in cardiovascular disease.

Clin Trials. 2021-6

[8]

How to design a pre-specified statistical analysis approach to limit p-hacking in clinical trials: the Pre-SPEC framework.

BMC Med. 2020-9-7

[9]

Prevalence of Multiplicity and Appropriate Adjustments Among Cardiovascular Randomized Clinical Trials Published in Major Medical Journals.

JAMA Netw Open. 2020-4-1

[10]

Design, analysis and reporting of multi-arm trials and strategies to address multiple testing.

Int J Epidemiol. 2020-6-1

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Multiplicity corrections in life sciences: challenges and consequences.

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