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A hybrid generalized propensity score approach for observational studies

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Publication:6083007
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DOI10.1080/03610918.2021.1963451OpenAlexW3195868649MaRDI QIDQ6083007

Woon Yuen Koh, Chunhao Tu

Publication date: 7 December 2023

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2021.1963451


zbMATH Keywords

overlapobservational studiesmachine learningcausal inference


Mathematics Subject Classification ID

Statistics (62-XX)





Cites Work

  • Unnamed Item
  • Bagging predictors
  • Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)
  • Dealing with limited overlap in estimation of average treatment effects
  • The central role of the propensity score in observational studies for causal effects
  • The role of the propensity score in estimating dose-response functions
  • An Introduction to Statistical Learning
  • Using generalized doubly robust estimator to estimate average treatment effects of multiple treatments in observational studies
  • On estimating regression-based causal effects using sufficient dimension reduction
  • Random forests
  • Stochastic gradient boosting.




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