Modeling zero-modified count and semicontinuous data in health services research part 2: case studies-Reference-Cited by-同舟云学术

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Modeling zero-modified count and semicontinuous data in health services research part 2: case studies

Published:2016-08-08 Issue:27 Volume:35 Page:5094-5112
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Neelon Brian¹,O'Malley A. James²,Smith Valerie A.³⁴

Affiliation:

1. Department of Public Health Sciences; Medical University of South Carolina; Charleston 29425 SC U.S.A.

2. Department of Biomedical Data Science and The Dartmouth Institute for Health Policy and Clinical Practice; Lebanon 03766 NH U.S.A.

3. Center for Health Services Research in Primary Care; Durham VA Medical Center; Durham 27705 NC U.S.A.

4. Division of General Internal Medicine, Department of Medicine; Duke University; Durham 27710 NC U.S.A.

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference41 articles.

1. The ACCESS National Evaluation Team. Service systems integration and outcomes for mentally ill homeless persons in the ACCESS Program;Rosenheck;Psychiatric Services,2002

2. Likelihood ratio tests for model selection and non-nested hypotheses;Vuong;Econometrica,1989

3. The misuse of the Vuong test for non-nested models to test for zero-inflation;Wilson;Economics Letters,2015

4. A new look at the statistical model identification;Akaike;IEEE Transactions on Automatic Control,1974

5. Multimodel inference: understanding AIC and BIC in model selection;Burnham;Sociological Methods & Research,2004

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