Hospital quality risk standardization via approximate balancing weights-Reference-Cited by-同舟云学术

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Hospital quality risk standardization via approximate balancing weights

Published:2023-06-01 Issue:2 Volume:17 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Keele Luke J.¹,Ben-Michael Eli²,Feller Avi³,Kelz Rachel¹,Miratrix Luke⁴

Affiliation:

1. Hospital of the University of Pennsylvania, University of Pennsylvania

2. Department of Statistics and Institute for Quantitative Social Science, Harvard University

3. Goldman School of Public Policy, University of California, Berkeley

4. Graduate School of Education, Harvard University

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Reference63 articles.

1. Athey, S., Imbens, G. W. and Wager, S. (2018). Approximate residual balancing: Debiased inference of average treatment effects in high dimensions. J. R. Stat. Soc. Ser. B. Stat. Methodol. 80 597–623.

2. Kallus, N. (2020). Generalized optimal matching methods for causal inference. J. Mach. Learn. Res. 21 Paper No. 62, 54.

3. Robins, J. M. and Rotnitzky, A. (1995). Semiparametric efficiency in multivariate regression models with missing data. J. Amer. Statist. Assoc. 90 122–129.

4. Wang, Y. and Zubizarreta, J. R. (2020). Minimal dispersion approximately balancing weights: asymptotic properties and practical considerations. Biometrika 107 93–105.

5. Zhao, Q. (2019). Covariate balancing propensity score by tailored loss functions. Ann. Statist. 47 965–993.

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