Matching on Generalized Propensity Scores with Continuous Exposures
From MaRDI portal
Publication:6154030
DOI10.1080/01621459.2022.2144737arXiv1812.06575MaRDI QIDQ6154030
Marianthi-Anna Kioumourtzoglou, Fabrizia Mealli, Xiao Wu, Francesca Dominici, Danielle Braun
Publication date: 19 March 2024
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1812.06575
Cites Work
- Unnamed Item
- Doubly Robust Estimation in Missing Data and Causal Inference Models
- Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data
- Comment: Performance of double-robust estimators when ``inverse probability weights are highly variable
- For objective causal inference, design trumps analysis
- Covariate balancing propensity score for a continuous treatment: application to the efficacy of political advertisements
- Entropy balancing for continuous treatments
- Commentary on Yu et al..: Opportunities and challenges for matching methods in large databases
- Causal inference in the context of an error prone exposure: air pollution and mortality
- Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data
- 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
- Covariate association eliminating weights: a unified weighting framework for causal effect estimation
- The identification power of smoothness assumptions in models with counterfactual outcomes
- Matching on the Estimated Propensity Score
- Using Mixed Integer Programming for Matching in an Observational Study of Kidney Failure After Surgery
- Debiased machine learning of conditional average treatment effects and other causal functions
- Double/debiased machine learning for treatment and structural parameters
- Causal Inference for Statistics, Social, and Biomedical Sciences
- Smoothed Rank Regression With Censored Data
- Propensity score matching and subclassification in observational studies with multi‐level treatments
- Non-parametric Methods for Doubly Robust Estimation of Continuous Treatment Effects
- Uniformly Semiparametric Efficient Estimation of Treatment Effects With a Continuous Treatment
- Bias-Corrected Matching Estimators for Average Treatment Effects
- Large Sample Properties of Matching Estimators for Average Treatment Effects
- Super Learner
- Causal Inference With General Treatment Regimes
This page was built for publication: Matching on Generalized Propensity Scores with Continuous Exposures
