RE: “EASY SAS CALCULATIONS FOR RISK OR PREVALENCE RATIOS AND DIFFERENCES”
Open Access
- 17 May 2006
- journal article
- research article
- Published by Oxford University Press (OUP) in American Journal of Epidemiology
- Vol. 163 (12) , 1157-1158
- https://doi.org/10.1093/aje/kwj163
Abstract
We applaud Drs. Spiegelman and Hertzmark's idea of using SAS procedure PROC GENMOD to estimate the risk ratio or difference (1). However, we have reservations about 1) the claim that there is no good justification for fitting the logistic regression and estimating the odds ratio when the odds ratio is not a good approximation of the risk ratio, and 2) using Poisson regression (PROC GENMOD) to estimate the risk ratio when the log-binomial model fails to converge.Keywords
This publication has 2 references indexed in Scilit:
- Easy SAS Calculations for Risk or Prevalence Ratios and DifferencesAmerican Journal of Epidemiology, 2005
- Best Subsets Logistic RegressionBiometrics, 1989