Comparison of covariate balance weighting methods in estimating treatment effects
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Publication:6052522
DOI10.1007/s11424-022-1037-4MaRDI QIDQ6052522
Ming Lin, Mingfeng Zhan, Ying Fang
Publication date: 22 September 2023
Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)
average treatment effectquantile treatment effectscovariate balancecalibration balance weightingintegrated propensity scorestable balance weighting
Cites Work
- Large Sample Properties of Generalized Method of Moments Estimators
- Efficient Semiparametric Estimation of Quantile Treatment Effects
- An updated review of goodness-of-fit tests for regression models
- Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data
- Covariate balancing propensity score by tailored loss functions
- Panel data approach vs synthetic control method
- Some recent developments in modeling quantile treatment effects
- Statistical analysis and evaluation of macroeconomic policies: a selective review
- Estimation and inference for distribution functions and quantile functions in treatment effect models
- The central role of the propensity score in observational studies for causal effects
- Empirical likelihood ratio confidence intervals for a single functional
- Inference and missing data
- An Information-Theoretic Alternative to Generalized Method of Moments Estimation
- On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
- Minimal dispersion approximately balancing weights: asymptotic properties and practical considerations
- Stable Weights that Balance Covariates for Estimation With Incomplete Outcome Data
- Globally Efficient Non-Parametric Inference of Average Treatment Effects by Empirical Balancing Calibration Weighting
- Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score
- Covariate Balancing Propensity Score
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