Journal
STATA JOURNAL
Volume 9, Issue 2, Pages 175-196Publisher
SAGE PUBLICATIONS INC
DOI: 10.1177/1536867X0900900201
Keywords
st0162; risk ratio; odds ratio
Funding
- Centers for Disease Control and Prevention, Atlanta, CA [R49/CE000197-04]
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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, including 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 logistic, probit, complementary log-log, and log-log regression; and 7) a substitution method. Advantages and drawbacks are noted for some methods.
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