Using generalized doubly robust estimator to estimate average treatment effects of multiple treatments in observational studies

DOI10.1080/00949655.2012.663375zbMath1453.62745OpenAlexW2081114845MaRDI QIDQ5218884

Shuo Jiao, Chunhao Tu, Woon Yuen Koh

Publication date: 6 March 2020

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

Full work available at URL: https://doi.org/10.1080/00949655.2012.663375

zbMATH Keywords

generalized propensity scoreaverage treatment effectobservational studydoubly robust estimatorinverse probability of treatment weighted

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (4)

A hybrid generalized propensity score approach for observational studies ⋮ Comparison of various machine learning algorithms for estimating generalized propensity score ⋮ Comparison of adjusted and unadjusted marginal probabilities for estimating binomial parameters in observational studies ⋮ Causal inference for average treatment effects of multiple treatments with non-normally distributed outcome variables

Cites Work

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• The central role of the propensity score in observational studies for causal effects
• Model-Based Direct Adjustment
• The role of the propensity score in estimating dose-response functions

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