Using Length of Stay to Control for Unobserved Heterogeneity When Estimating Treatment Effect on Hospital Costs with Observational Data: Issues of Reliability, Robustness, and Usefulness-Reference-Cited by-同舟云学术

Using Length of Stay to Control for Unobserved Heterogeneity When Estimating Treatment Effect on Hospital Costs with Observational Data: Issues of Reliability, Robustness, and Usefulness

Published:2016-02-21 Issue:5 Volume:51 Page:2020-2043
ISSN:0017-9124
Container-title:Health Services Research
language:en
Short-container-title:Health Serv Res

Author:

May Peter¹²,Garrido Melissa M.²³^ORCID,Cassel J. Brian⁴,Morrison R. Sean²³,Normand Charles¹

Affiliation:

1. Centre for Health Policy & Management; Trinity College Dublin; Dublin Ireland

2. Brookdale Department of Geriatrics and Palliative Medicine; Icahn School of Medicine at Mount Sinai; New York NY

3. James J. Peters VA Medical Center; Bronx NY

4. Massey Cancer Center at Virginia Commonwealth University; Richmond VA

Funder

National Cancer Institute

National Institute of Nursing Research

Health Research Board

Veterans Affairs Health Services Research and Development Career Development Award

National Institute on Aging

Icahn School of Medicine at Mount Sinai

National Palliative Care Research Center

Midcareer Investigator Award in Patient-Oriented Research

Publisher

Wiley

Subject

Health Policy

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4. Identification of Causal Effects Using Instrumental Variables;Angrist;Journal of American Statistical Association,1996

5. An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies;Austin;Multivariate Behavioral Research,2011

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