A hybrid generalized propensity score approach for observational studies
From MaRDI portal
Publication:6083007
DOI10.1080/03610918.2021.1963451OpenAlexW3195868649MaRDI QIDQ6083007
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
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.
This page was built for publication: A hybrid generalized propensity score approach for observational studies