Cited by 132Statistical Methods in Clinical TrialsStatistical Methods and Bayesian InferenceProbability and Statistical Research

Sample size re‐estimation in clinical trials

Proschan, Michael A.·2009·Biometrical Journal

Abstract

Adaptive clinical trials are becoming very popular because of their flexibility in allowing mid‐stream changes of sample size, endpoints, populations, etc. At the same time, they have been regarded with mistrust because they can produce bizarre results in very extreme settings. Understanding the advantages and disadvantages of these rapidly developing methods is a must. This paper reviews flexible methods for sample size re‐estimation when the outcome is continuous.

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Crossref · 10.1002/bimj.200800266

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References 25 · Cited by 132

Authors
Proschan, M. A.
Affiliations
National Institutes of Health (US)
Corresponding author
Proschan, Michael A.
Venue
Biometrical Journal
Publisher
Wiley
Published
2009-04
Volume
51
Issue
2
Pages
348-357
ISSN
  • 0323-3847 (ISSN-L)
  • 1521-4036
OpenAlex
W2078021680
Cited by
132
References
25
Citations by year
2026: 7 · 2025: 4 · 2024: 6 · 2023: 6 · 2022: 9 · 2021: 5 · 2020: 10 · 2019: 10 · 2018: 6 · 2017: 4 · 2016: 4 · 2015: 7 · 2014: 4 · 2013: 8 · 2012: 13
FWCI
8.85
Type
journal article
Language
en
Open access
closed
Locations
  • Biometrical Journal (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
Keywords
sample size re-estimation, adaptive clinical trials, continuous outcomes, clinical trial design
MeSH terms
Clinical Trials as Topic, Computer Simulation, Models, Statistical, Sample Size, Patient Selection

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