Hospital quality risk standardization via approximate balancing weights

DOI10.1214/22-aoas1629arXiv2007.09056OpenAlexW3042459839MaRDI QIDQ6104081

Luke Keele, Avi Feller, Luke W. Miratrix, Eli Ben-Michael, Rachel R. Kelz

Publication date: 5 June 2023

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2007.09056

zbMATH Keywords

weightingrisk adjustmentdirect standardization

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

• Unnamed Item
• Statistical and clinical aspects of hospital outcomes profiling
• For objective causal inference, design trumps analysis
• Flexible distributions for triple-goal estimates in two-stage hierarchical models
• Covariate balancing propensity score by tailored loss functions
• Augmented minimax linear estimation
• Generalized Raking Procedures in Survey Sampling
• Components of a Difference Between Two Rates
• Calibration Estimators in Survey Sampling
• "Equivalent Sample Size" and "Equivalent Degrees of Freedom" Refinements for Inference Using Survey Weights Under Superpopulation Models
• Triple-goal Estimates in Two-stage Hierarchical Models
• Statistical Methods for Rates and Proportions
• Covariate association eliminating weights: a unified weighting framework for causal effect estimation
• Inference on Treatment Effects after Selection among High-Dimensional Controls
• Balancing Covariates via Propensity Score Weighting
• Comparing the Contributions of Groups of Predictors: Which Outcomes Vary With Hospital Rather Than Patient Characteristics
• Semiparametric Efficiency in Multivariate Regression Models with Missing Data
• Approximate Residual Balancing: Debiased Inference of Average Treatment Effects in High Dimensions
• Generalized Optimal Matching Methods for Causal Inference
• Kernel Balancing: A flexible non-parametric weighting procedure for estimating causal effects
• Minimal dispersion approximately balancing weights: asymptotic properties and practical considerations
• Stable Weights that Balance Covariates for Estimation With Incomplete Outcome Data
• Bias-Corrected Matching Estimators for Average Treatment Effects
• On a Least Squares Adjustment of a Sampled Frequency Table When the Expected Marginal Totals are Known
• A Generalization of Sampling Without Replacement From a Finite Universe
• The Augmented Synthetic Control Method

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