Estimating Risk Ratios and Risk Differences Using Regression
Generalized linear models (GLMs) are often used with binary outcomes to estimate odds ratios. Though not as widely appreciated, GLMs can also be used to quantify risk differences, risk ratios, and their appropriate standard errors (1). Here, we illustrate how GLMs can be used to quantify these latter effect measures, and we demonstrate how to obtain valid standard errors. Read more at https://doi.
https://www.lupop.lu.se/article/estimating-risk-ratios-and-risk-differences-using-regression - 2026-01-07
