Personal treatment effect

code project for personal treatment effect

DataSets

1. Infant Health and Development Program (IHDP)

References

1. Fredrik D. Johansson, Uri Shalit & David Sontag. Learning Representations for Counterfactual Inference. 33rd International Conference on Machine Learning (ICML), June 2016.

   Uri Shalit, Fredrik D. Johansson & David Sontag. Estimating individual treatment effect: generalization bounds and algorithms, 34th International Conference on Machine Learning (ICML), August 2017.

   code and data

2. Hill J L. Bayesian nonparametric modeling for causal inference[J]. Journal of Computational and Graphical Statistics, 2011, 20(1): 217-240.

   code and data

3. Wager S, Athey S. Estimation and inference of heterogeneous treatment effects using random forests[J]. Journal of the American Statistical Association, 2017 (just-accepted).

   code