Methods for estimating adjusted risk ratios

Peter Cummings ()
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Peter Cummings: University of Washington

Stata Journal, 2009, vol. 9, issue 2, pages 175-196

Abstract: The risk ratio can be a useful statistic for summarizing the results of cross-sectional, cohort, and randomized trial studies. I discuss several methods for estimating adjusted risk ratios and show how they can be executed in Stata, in- cluding 1) Mantel – Haenszel and inverse-variance stratified methods; 2) generalized linear regression with a log link and binomial distribution; 3) generalized linear regression with a log link, normal distribution, and robust variance estimator; 4) Poisson regression with a robust variance estimator; 5) Cox proportional hazards regression with a robust variance estimator; 6) standardized risk ratios from logis- tic, probit, complementary log-log, and log-log regression; and 7) a substitution method. Advantages and drawbacks are noted for some methods. Copyright 2009 by StataCorp LP.

Keywords: risk ratio; odds ratio (search for similar items in EconPapers)
Date: 2009

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Persistent link: http://EconPapers.repec.org/RePEc:tsj:stataj:v:9:y:2009:i:2:p:175-196

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