Evaluating federal policies using Bayesian time series models: estimating the causal impact of the hospital readmissions reduction program-Reference-Cited by-同舟云学术

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Evaluating federal policies using Bayesian time series models: estimating the causal impact of the hospital readmissions reduction program

Published:2023-01-05 Issue:4 Volume:23 Page:433-451
ISSN:1387-3741
Container-title:Health Services and Outcomes Research Methodology
language:en
Short-container-title:Health Serv Outcomes Res Method

Author:

Papadogeorgou Georgia^ORCID,Menchetti Fiammetta^ORCID,Choirat Christine,Wasfy Jason H.,Zigler Corwin M.,Mealli Fabrizia^ORCID

Funder

National Institutes of Health

U.S. Environmental Protection Agency

Health Effects Institute

American Heart Association

Italian Ministry of Education, University and Research

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health,Health Policy

Link

https://link.springer.com/content/pdf/10.1007/s10742-022-00294-8.pdf

Reference51 articles.

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2. Abadie, A., Diamond, A., Hainmueller, J.: Synthetic control methods for comparative case studies: estimating the effect of California’s tobacco control program. J. Am. Stat. Assoc. 105, 493–505 (2010)

3. Abadie, A., Diamond, A., Hainmueller, J.: Comparative politics and the synthetic control method. Am. J. Polit. Sci. 59, 495–510 (2015)

4. Agresti, A.: Categorical Data Analysis. John Wiley & Sons, Hoboken (2013)

5. Angrist, J.D., Pischke, J.S.: Mostly Harmless Econometrics: An Empiricist’s Companion. Princeton University Press, Princeton (2008)

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