Nonparametric tests for treatment effect heterogeneity in observational studies
From MaRDI portal
Publication:6059460
DOI10.1002/cjs.11728arXiv2103.15023OpenAlexW4297412566MaRDI QIDQ6059460
Weining Shen, Maozhu Dai, Hal S. Stern
Publication date: 2 November 2023
Published in: Canadian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2103.15023
Cites Work
- Unnamed Item
- Randomization Inference for Treatment Effect Variation
- Asymptotically independent U-statistics in high-dimensional testing
- Dealing with limited overlap in estimation of average treatment effects
- The central role of the propensity score in observational studies for causal effects
- Balancing Covariates via Propensity Score Weighting
- Testing for Qualitative Interactions between Treatment Effects and Patient Subsets
- A U-statistic-based test of treatment effect heterogeneity
- Nonparametric tests of conditional treatment effects with an application to single-sex schooling on academic achievements
- Consistent tests for conditional treatment effects
- Robust Inference Using Inverse Probability Weighting
- Causal inference with confounders missing not at random
- Causal Inference for Statistics, Social, and Biomedical Sciences
- A Generalization of Sampling Without Replacement From a Finite Universe
This page was built for publication: Nonparametric tests for treatment effect heterogeneity in observational studies