Time-varying proportional odds model for mega-analysis of clustered event times-Reference-Cited by-同舟云学术

Time-varying proportional odds model for mega-analysis of clustered event times

Published:2017-12-22 Issue:1 Volume:20 Page:129-146
ISSN:1465-4644
Container-title:Biostatistics
language:en
Short-container-title:

Author:

Garcia Tanya P¹,Marder Karen²,Wang Yuanjia³

Affiliation:

1. Texas A&M University, Department of Epidemiology and Biostatistics, TAMU 1266, College Station, TX USA

2. Columbia University Medical Center, Department of Neurology and Psychiatricy, Sergievsky Center and Taub Institute, 630 West 168th Street, New York, NY, USA

3. Columbia University, Department of Biostatistics, Mailman School of Public Health, New York, NY, USA

Publisher

Oxford University Press (OUP)

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Link

http://academic.oup.com/biostatistics/article-pdf/20/1/129/28666362/kxx065.pdf

Reference23 articles.

1. Pseudo-observations in survival analysis.;Andersen;Statistical Methods in Medical Research,2010

2. Approximate inference in generalized linear mixed model.;Breslow;Journal of the American Statistical Association,1993

3. Semiparametric mixed-effects models for clustered failure time data.;Cai;Journal of the American Statistical Association,2002

4. Analysis of multivariate failure time data using marginal proportional hazards model.;Chen;Statistica Sinica,2010

5. Multivariate generalizations of the proportional hazards model (with discussion).;Clayton;Journal of the Royal Statistical Society, Series A,1985

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