Causal inference for average treatment effects of multiple treatments with non-normally distributed outcome variables

DOI10.1080/00949655.2015.1040019OpenAlexW2044573756WikidataQ130534125 ScholiaQ130534125MaRDI QIDQ5222378

Woon Yuen Koh, Chunhao Tu

Publication date: 1 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2015.1040019

zbMATH Keywords

causal inferencegeneralized propensity scoreaverage treatment effectobservational studynon-normal distributions

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Evaluating inverse propensity score weighting in the presence of many treatments. An application to the estimation of the neighbourhood effect

Cites Work

• The central role of the propensity score in observational studies for causal effects
• The role of the propensity score in estimating dose-response functions
• Using generalized doubly robust estimator to estimate average treatment effects of multiple treatments in observational studies

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