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pubmed:abstractText |
Estimating the required sample size and statistical power for a study is an integral part of study design. For standard designs, power equations provide an efficient solution to the problem, but they are unavailable for many complex study designs that arise in practice. For such complex study designs, computer simulation is a useful alternative for estimating study power. Although this approach is well known among statisticians, in our experience many epidemiologists and social scientists are unfamiliar with the technique. This article aims to address this knowledge gap.
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pubmed:affiliation |
Division of Epidemiology, School of Public Health, University of California, Berkeley, CA, USA. benarnold@berkeley.edu
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pubmed:publicationType |
Journal Article,
Review,
Research Support, Non-U.S. Gov't,
Research Support, N.I.H., Extramural
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