Computing adjusted risk ratios and risk differences in Stata

This paper explains how to calculate adjusted risk ratios and risk differences when reporting results from logit, probit, and related nonlinear models. Building on Stata’s margins command, we create a new post-estimation command adjrr that calculates adjusted risk ratios (ARR) and adjusted risk differences (ARD) after running logit or probit models with either binary, multinomial, or ordered outcomes. It reports the point estimates, delta-method standard errors, and 95% confidence intervals, and can compute these for specific values of the variable of interest. It automatically adjusts for complex survey design as in the estimated model. Data from the Medical Expenditure Panel Survey (MEPS) and the National Health and Nutrition Examination Survey (NHANES) are used to illustrate multiple applications of the command.