Question

Difference between logistic regression and propensity modelling

Answer 1

For calculation of a propensity score, the confounders are used in a logistic regression to predict the exposure of interest, without including the outcome (4, 5). ... The use of propensity scores is increasing (8, 9) and is appealing in the analysis of studies with rare events (outcomes) and multiple confounders (8).