Fig. 5
From: On the use of propensity scores in case of rare exposure
Effect of the number of confounders. Bias of exposure effect, variability ratio, 1 - coverage and RMSE according to number of confounders (2 or 4 confounders) and mean sample size, for σ U,B =σ U,C =0.3, σ B,C =0, \(\exp (\delta _{B}) = \exp (\delta _{C}) = 1.5\), H R=1, r c =50 % and p=5 %, with weighting by inverse of PS using ATE and ATT weights and PS-matching