Robust propensity score weighting estimation under missing at random
Robust propensity score weighting estimation under missing at random
Missing data is frequently encountered in many areas of statistics. One popular approach to address this issue is through the use of propensity score weighting. However, correctly specifying the statistical model can be a daunting task. Doubly robust estimation is attractive, as the consistency of the estimator is guaranteed when …