Consideration of missing values in sample size calculation for clinical trials using multiple imputation

Introduction: Sample size calculation plays a major role in the planning of a clinical trial. When missing values are expected, a common practice is to inflate the calculated sample size by an estimated dropout rate in order to maintain the desired power. However, it is recommended to include patients [for full text, please go to the a.m. URL]

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Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-11-03
DOI
https://doi.org/10.3205/25gmds074
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
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article

Consideration of missing values in sample size calculation for clinical trials using multiple imputation

German Medical Science (German Research Foundation)
Statistical Methods in Clinical Trials
article

Consideration of missing values in sample size calculation for clinical trials using multiple imputation

article en

Abstract

Introduction: Sample size calculation plays a major role in the planning of a clinical trial. When missing values are expected, a common practice is to inflate the calculated sample size by an estimated dropout rate in order to maintain the desired power. However, it is recommended to include patients [for full text, please go to the a.m. URL]

German Medical Science (German Research Foundation)
Heidelberg University (DE), Institut für Medizinische Biometrie, Informatik und Epidemiologie (DE)
Openalex Percentile: Top 36%
Statistical Methods in Clinical Trials
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Consideration of missing values in sample size calculation for clinical trials using multiple imputation · German Medical Science (German Research Foundation) (2025) | TGRS Research Map | TGRS