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Journal Article

Empirical-Bayes Adjustments for Multiple Comparisons Are Sometimes Useful

Sander Greenland and James M. Robins
Epidemiology
Vol. 2, No. 4 (Jul., 1991), pp. 244-251
Stable URL: http://www.jstor.org/stable/20065674
Page Count: 8
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Empirical-Bayes Adjustments for Multiple Comparisons Are Sometimes Useful
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Abstract

Rothman recommends against adjustments for multiple comparisons. Implicit in his recommendation, however, is an assumption that the sole objective of the data analysis is to report and scientifically interpret the data. We concur with his recommendation when this assumption is correct and one is willing to abandon frequentist interpretations of the summary statistics. Nevertheless, there are situations in which an additional or even primary goal of analysis is to reach a set of decisions based on the data. In such situations, Bayes and empirical-Bayes adjustments can provide a better basis for the decisions than conventional procedures.

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