Multiplicity adjustment approaches in publicly funded multi-arm trials: a comprehensive review of the National Institute for Health and Care Research (NIHR) Journals Library

The majority of the publicly funded multi-arm trials did not adjust for multiplicity in the sample size, statistical analysis, or estimation of confidence intervals. Researchers should follow the Consolidated Standards of Reporting Trials guidelines for multi-arm trials and clearly state in protocols and trial reports whether a multiplicity adjustment was made or provide a reason if no adjustment was made.

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Publication Details

Journal
Trials
Published
2025-12-08
DOI
https://doi.org/10.1186/s13063-025-09324-5
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
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article

Multiplicity adjustment approaches in publicly funded multi-arm trials: a comprehensive review of the National Institute for Health and Care Research (NIHR) Journals Library

Richard Jacques, Rebecca Simpson, Stephen J. Walters, Ellen Lee
Trials
Statistical Methods in Clinical Trials
article

Multiplicity adjustment approaches in publicly funded multi-arm trials: a comprehensive review of the National Institute for Health and Care Research (NIHR) Journals Library

Richard Jacques, Rebecca Simpson, Stephen J. Walters, Ellen Lee
article en

Abstract

The majority of the publicly funded multi-arm trials did not adjust for multiplicity in the sample size, statistical analysis, or estimation of confidence intervals. Researchers should follow the Consolidated Standards of Reporting Trials guidelines for multi-arm trials and clearly state in protocols and trial reports whether a multiplicity adjustment was made or provide a reason if no adjustment was made.

TrialsVol. 27(1)
University of Sheffield (GB)
Openalex Percentile: Top 64%
Statistical Methods in Clinical Trials
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