1 Paper 345-2011 Using SAS® Procedures FREQ, GENMOD, LOGISTIC, and PHREG to Estimate Adjusted Relative Risks – A Case Study Jiming Fang Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada ABSTRACT We present nine methods to compute an adjusted relative risk (RR). These methods evolved over the past 25 years (1985–2010) via SAS/STAT® procedures: FREQ, GENMOD, LOGISTIC, and PHREG. We also compare the strengths and limitations of these methods, using an observational cohort study for illustration. INTRODUCTION The relative risk (RR) is a common measure of the effect of treatment or exposure on a dichotomous outcome in cohort studies. Researchers are increasingly using observational studies to estimate the effect of treatment on outcomes. Howe

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