A joint logistic regression and covariate-adjusted continuous-time Markov chain model-Reference-Cited by-同舟云学术

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A joint logistic regression and covariate-adjusted continuous-time Markov chain model

Published:2017-07-10 Issue:28 Volume:36 Page:4570-4582
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Rubin Maria Laura¹^ORCID,Chan Wenyaw¹^ORCID,Yamal Jose-Miguel¹^ORCID,Robertson Claudia Sue²

Affiliation:

1. Department of Biostatistics; The University of Texas Health Science Center at Houston; Houston TX 77030 U.S.A.

2. Department of Neurosurgery; Baylor College of Medicine; Houston TX 77030 U.S.A.

Funder

National Institute of General Medical Sciences, National Institute of Health

National Institute of Neurological Disorders and Stroke, National Institutes of Health

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference36 articles.

1. Modeling the relationship of survival to longitudinal data measured with error. Applications to survival and CD4 counts in patients with AIDS;Tsiatis;Journal of the American Statistical Association,1995

2. Predictors of intensive care unit length of stay and intracranial pressure in severe traumatic brain injury;Lazaridis;Journal of Critical Care,2015

3. A joint model for survival and longitudinal data measured with error;Wulfsohn;Biometrics,1997

4. Joint modelling of longitudinal measurements and event time data;Henderson;Biostatistics (Oxford, England),2000

5. Joint modeling of self-rated health and changes in physical functioning;Hubbard;Journal of the American Statistical Association,2009

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