ate.ipw {RCAL} | R Documentation |
Inverse probability weighted estimation of average treatment effects
Description
This function implements inverse probability weighted (IPW) estimation of average treatment effects (ATEs), provided fitted propensity scores.
Usage
ate.ipw(y, tr, mfp)
Arguments
y |
An |
tr |
An |
mfp |
An |
Value
one |
The direct IPW estimates of 1. |
est |
The ratio IPW estimates of means. |
diff |
The ratio IPW estimate of ATE. |
References
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.