Cited by 452Statistical Methods in Clinical TrialsStatistical Methods in EpidemiologyMeta-analysis and systematic reviews

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Sample Size Estimation in Clinical Research

Abstract

Sample size determination is an essential step in planning a clinical study. It is critical to understand that different study designs need different methods of sample size estimation. Although there is a vast literature discussing sample size estimation, incorrect or improper formulas continue to be applied. This article reviews basic statistical concepts in sample size estimation, discusses statistical considerations in the choice of a sample size for randomized controlled trials and observational studies, and provides strategies for reducing sample size when planning a study. To assist clinical researchers in performing sample size calculations, we have developed an online calculator for common clinical study designs. The calculator is available at http://riskcalc.org:3838/samplesize/. Finally, we offer our recommendations on reporting sample size determination in clinical studies.

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Research works printed but not linked: 14

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Metadata

Authors
Wang, X., & Ji, X.
Affiliations
Cleveland Clinic (US)
Corresponding author
Wang, Xiaofeng
Venue
Chest
Publisher
Elsevier BV
Published
2020-07
Volume
158
Issue
1
Pages
S12-S20
ISSN
0012-3692 (ISSN-L)
OpenAlex
W3039422431
Cited by
452
References
0
Citations by year
2026: 87 · 2025: 105 · 2024: 121 · 2023: 76 · 2022: 36 · 2021: 22 · 2020: 4
FWCI
24.19
Type
journal article
Language
en
Open access
closed
Locations
  • CHEST Journal (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Keywords
sample size determination, randomized controlled trials, observational studies, clinical research design, statistical power
MeSH terms
Humans, Research Design, Randomized Controlled Trials as Topic, Sample Size, Observational Studies as Topic

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