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Study size has typically been planned based on statistical power and therefore has been heavily influenced by the philosophy of statistical hypothesis testing. A worthwhile alternative is to plan study size based on precision, for example by aiming to obtain a desired width of a confidence interval for the targeted effect. This article presents formulas for planning the size of an epidemiologic study based on the desired precision of the basic epidemiologic effect measures.
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Kenneth J. Rothman
Boston University
Sander Greenland
Boston University
Epidemiology
University of California, Los Angeles
Boston University
RTI International
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Rothman et al. (Fri,) studied this question.
synapsesocial.com/papers/6a1fc884e2f0a48241989847 — DOI: https://doi.org/10.1097/ede.0000000000000876
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