editorialAmerican Journal of EpidemiologyJun 29, 2005BRONZE OA

Easy SAS Calculations for Risk or Prevalence Ratios and Differences

Harvard University

PubMed
Indexed incrossrefpubmed

Abstract

We would like to make the readership aware that risk or prevalence ratios and differences, when they are the parameter of interest, can be directly calculated by using SAS software (SAS Institute, Inc., Cary, North Carolina). There is no longer any good justification for fitting logistic regression models and estimating odds ratios when the odds ratio is not a good approximation of the risk or prevalence ratio. Instead, SAS PROC GENMOD's log-binomial regression (1) capability can be used for estimation and inference about the parameter of interest. Here is an example of the code required to analyze the breast cancer survival data discussed by Greenland (2):

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Topics & keywords

Keywords
  • Medicine
  • Epidemiology
  • Demography
  • Statistics
  • Mathematics
  • Internal medicine
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