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American Journal of Epidemiology 2006 163(12):1158-1159; doi:10.1093/aje/kwj162
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American Journal of Epidemiology Copyright © 2006 by the Johns Hopkins Bloomberg School of Public Health All rights reserved; printed in U.S.A.

Letter to the Editor

RE: "EASY SAS CALCULATIONS FOR RISK OR PREVALENCE RATIOS AND DIFFERENCES"

Martin R. Petersen1 and James A. Deddens1,2

1 National Institute for Occupational Safety and Health, Cincinnati, OH 45226-1998
2 Department of Mathematical Sciences, University of Cincinnati, Cincinnati, OH 45215

(e-mail: mrp1@cdc.gov)

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In their editorial, Spiegelman and Hertzmark (1Go) recommend an easy method to estimate risk and prevalence ratios, and they include SAS macros for performing the calculations. The method uses maximum likelihood when the correct binomial model converges and a Poisson model with a robust variance estimator when the correct model fails to converge. We agree completely with using maximum likelihood estimators (MLEs) when the model . . . [Full Text of this Article]


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D. Spiegelman and E. Hertzmark
THE AUTHORS REPLY
Am. J. Epidemiol., June 15, 2006; 163(12): 1159 - 1161.
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