Outcome-adjusted balance measure for generalized propensity score model selection
From MaRDI portal
Publication:2156818
DOI10.1016/j.jspi.2022.04.004OpenAlexW3185558250MaRDI QIDQ2156818
Publication date: 20 July 2022
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2107.12487
Cites Work
- Unnamed Item
- Unnamed Item
- Propensity score weighting for causal inference with multiple treatments
- Measuring and testing dependence by correlation of distances
- Ball Covariance: A Generic Measure of Dependence in Banach Space
- Matching methods for causal inference: a review and a look forward
- Matched Sampling for Causal 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
- Outcome‐adaptive lasso: Variable selection for causal inference
- Matching on the Estimated Propensity Score
- Building Representative Matched Samples With Multi-Valued Treatments in Large Observational Studies
- Doubly Robust Inference when Combining Probability and Non-Probability Samples with High Dimensional Data
- Asymptotic theory and inference of predictive mean matching imputation using a superpopulation model framework
- Propensity score matching and subclassification in observational studies with multi‐level treatments
- Asymptotic inference of causal effects with observational studies trimmed by the estimated propensity scores
- Large Sample Properties of Matching Estimators for Average Treatment Effects
- Model Selection and Estimation in Regression with Grouped Variables
This page was built for publication: Outcome-adjusted balance measure for generalized propensity score model selection