You are not currently logged in.
Access JSTOR through your library or other institution:
Empirical-Bayes Adjustments for Multiple Comparisons Are Sometimes Useful
Sander Greenland and James M. Robins
Vol. 2, No. 4 (Jul., 1991), pp. 244-251
Published by: Lippincott Williams & Wilkins
Stable URL: http://www.jstor.org/stable/20065674
Page Count: 8
You can always find the topics here!Topics: Epidemiology, Cost estimates, Sampling errors, Bayes estimators, Cities, Standard error, Toxoplasmosis, Analytical estimating, Frequentism, Statistical estimation
Were these topics helpful?See something inaccurate? Let us know!
Select the topics that are inaccurate.
Preview not available
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.
Epidemiology © 1991 Lippincott Williams & Wilkins