Improved Methods for Causal Inference and Missing Data Problems
Calibrated likelihood estimator for the causal-inference setup
Calibrated regression estimator for the causal-inference setup
Horvitz-Thompson estimator for the causal-inference setup
Non-calibrated likelihood estimator for the causal-inference setup
Non-calibrated regression estimator for the causal-inference setup
Weighted histogram
A R package for improved methods for causal inference and missing data...
The calibrated objective function ("log-likelihood")
The non-calibrated objective function ("log-likelihood")
Calibrated likelihood estimator for the missing-data setup
Calibrated regression estimator for the missing-data setup
Horvitz-Thompson estimator for the missing-data setup
Non-calibrated likelihood estimator for the missing-data setup
Non-calibrated regression estimator for the missing-data setup
Inverse of a matrix
Improved methods based on inverse probability weighting and outcome regression for causal inference and missing data problems.