We introduce a framework for estimating causal effects of binary and continuous treatments in high dimensions. The proposed framework extends many existing estimators introduced in the causal inference literature to high-dimensional settings. We …
Causal exposure-response curve estimation with local confonding adjustment. Different variables confound the exposure-response relationship at different exposure levels.
Causal inference with interference for realistic treatment allocation programs. Evaluating the comparitive effectiveness of power plant emission reduction strategies for reducing ambient ozone concentrations.