Cited by 230Statistical Methods in Clinical TrialsStatistical Methods in EpidemiologyStatistical Methods and Bayesian Inference

Statistical considerations in the design and analysis of community intervention trials

Donner, Allan, Klar, Neil·1996·Journal of Clinical Epidemiology

Abstract

Community intervention trials are often characterized by the allocation of intact social units to different intervention groups. The assessment of adequate sample size for such trials must take into account the statistical dependencies among responses observed within an allocated unit. However, the small numbers of units typically involved in such trials imply that many methods of analysis that have been proposed for analyzing correlated data, particularly in the case of a dichotomous outcome variable, are not applicable to such designs. In this article we investigate this issue and determine the minimum number of units required per group, for the case of both a dichotomous and a continuous outcome variable, needed to provide adequate statistical power for detecting various levels of treatment effect. The use of significance testing as a method of detecting intracluster correlation is also investigated, and, in general, discouraged.

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Crossref · 10.1016/0895-4356(95)00511-0

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Authors
Donner, A., & Klar, N.
Affiliations
Western University (CA)
Venue
Journal of Clinical Epidemiology
Publisher
Elsevier BV
Published
1996-04
Volume
49
Issue
4
Pages
435-439
ISSN
0895-4356 (ISSN-L)
OpenAlex
W2050387573
Cited by
230
References
38
Citations by year
2026: 3 · 2025: 1 · 2024: 2 · 2023: 2 · 2022: 10 · 2021: 6 · 2020: 10 · 2019: 7 · 2018: 13 · 2017: 16 · 2016: 8 · 2015: 12 · 2014: 8 · 2013: 8 · 2012: 9
FWCI
6.47
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Clinical Epidemiology (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
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Keywords
sample size determination, statistical power, intra-cluster correlation, binary outcomes, continuous outcomes, treatment effect detection
MeSH terms
Smoking Prevention, Adolescent, Clinical Trials as Topic, Humans, Random Allocation, Cluster Analysis, Sample Size

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