ate.ipw {RCAL} | R Documentation |
This function implements inverse probability weighted (IPW) estimation of average treatment effects (ATEs), provided fitted propensity scores.
ate.ipw(y, tr, mfp)
y |
An |
tr |
An |
mfp |
An |
one |
The direct IPW estimates of 1. |
est |
The ratio IPW estimates of means. |
diff |
The ratio IPW estimate of ATE. |
Tan, Z. (2020a) Regularized calibrated estimation of propensity scores with model misspecification and high-dimensional data, Biometrika, 107, 137–158.
Tan, Z. (2020b) Model-assisted inference for treatment effects using regularized calibrated estimation with high-dimensional data, Annals of Statistics, 48, 811–837.