A simulation study of regression approaches for estimating risk ratios in the presence of multiple confounders.

Regression approaches for estimating risk ratios should be cautiously used when the number of events is small. With an adequate number of events, risk ratios are validly estimated by modified Poisson regression and regression standardization, irrespective of the number of confounders.