Propensity score weighting for causal inference with multiple treatments
From MaRDI portal
Publication:93141
DOI10.1214/19-aoas1282zbMath1435.62392arXiv1808.05339OpenAlexW2991409330MaRDI QIDQ93141
Publication date: 1 December 2019
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1808.05339
generalized propensity scorepairwise comparisonbalancing weightsgeneralized overlap weightshealth services researchracial disparity
Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Paired and multiple comparisons; multiple testing (62J15)
Related Items
Outcome-adjusted balance measure for generalized propensity score model selection, Confounding adjustment methods for multi-level treatment comparisons under lack of positivity and unknown model specification, Weighted χ2 tests for multiple group comparisons in observational studies, Overlap weight and propensity score residual for heterogeneous effects: a review with extensions, Variance estimators for weighted and stratified linear dose–response function estimators using generalized propensity score, Propensity Score Weighting Analysis of Survival Outcomes Using Pseudo-Observations, Addressing substantial covariate imbalance with propensity score stratification and balancing weights: connections and recommendations, Extending balance assessment for the generalized propensity score under multiple imputation, Comment: Stabilizing the doubly-robust estimators of the average treatment effect under positivity violations, Covariate balancing functional propensity score for functional treatments in cross-sectional observational studies, Propensity score weighting for causal inference with multiple treatments, PSweight, Doubly Robust Estimation of Optimal Dosing Strategies
Uses Software
Cites Work
- Unnamed Item
- Propensity score weighting for causal inference with multiple treatments
- Population Intervention Causal Effects Based on Stochastic Interventions
- Asymptotics of cross-validated risk estimation in estimator selection and performance assess\-ment
- Estimation of causal effects with multiple treatments: a review and new ideas
- Causal inference: a missing data perspective
- Dealing with limited overlap in estimation of average treatment effects
- Higher order influence functions and minimax estimation of nonlinear functionals
- The central role of the propensity score in observational studies for causal effects
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- The role of the propensity score in estimating dose-response functions
- Balancing Covariates via Propensity Score Weighting
- A Martingale Representation for Matching Estimators
- Approximate Residual Balancing: Debiased Inference of Average Treatment Effects in High Dimensions
- Double/debiased machine learning for treatment and structural parameters
- Propensity score matching and subclassification in observational studies with multi‐level treatments
- Stable Weights that Balance Covariates for Estimation With Incomplete Outcome Data
- Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score