Sample Size Estimation in Research With Dependent Measures and Dichotomous Outcomes

Bibliographic Data

ID11020205
AuthorsKevin L Delucchi (0000-0003-2195-9627, University of California, San Francisco, corresponding author)
Year2004
Volume94
Issue3
Pages372-377
Publication date2004-03-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0090-0036 • E-ISSN: 1541-0048
PublisherAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.94.3.372
PMID14998798
OpenAlexW2144630952
LanguageEN
Citations received1
References cited49

I reviewed sample estimation methods for research designs involving nonindependent data and a dichotomous response variable to examine the importance of proper sample size estimation and the need to align methods of sample size estimation with planned methods of statistical analysis. Examples and references to published literature are provided in this article. When the method of sample size estimation is not in concert with the method of planned analysis, poor estimates may result. The effects of multiple measures over time also need to be considered. Proper sample size estimation is often overlooked. Alignment of the sample size estimation method with the planned analysis method, especially in studies involving nonindependent data, will produce appropriate estimates

Econometrics · Economics · Estimation · Sample (material) · Sample size determination · Statistics · Computer Science · Mathematics · Statistical Methods and Bayesian Inference · Statistical Methods and Inference · Statistical Methods in Clinical Trials

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