To Impute or not to Impute? Missing Data in Treatment Effect Estimation

4 February 2022

Papers citing "To Impute or not to Impute? Missing Data in Treatment Effect Estimation"

4 / 4 papers shown

Title
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects Tobias Hatt Jeroen Berrevoets Alicia Curth Stefan Feuerriegel M. Schaar CML 44 29 0 25 Feb 2022
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms Trent Kyono Yao Zhang Alexis Bellot M. Schaar CML 47 61 0 04 Nov 2021
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 223 719 0 12 May 2016
MissForest - nonparametric missing value imputation for mixed-type data D. Stekhoven Peter Buhlmann 157 4,214 0 04 May 2011