Joint modeling of survival and longitudinal non-survival data: current methods and issues. Report of the DIA Bayesian joint modeling working group-Reference-Cited by-同舟云学术

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Joint modeling of survival and longitudinal non-survival data: current methods and issues. Report of the DIA Bayesian joint modeling working group

Published:2014-03-14 Issue:14 Volume:34 Page:2181-2195
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Lawrence Gould A.¹,Boye Mark Ernest²,Crowther Michael J.³,Ibrahim Joseph G.⁴,Quartey George⁵,Micallef Sandrine⁶,Bois Frederic Y.⁷⁸

Affiliation:

1. Merck Research Laboratories; 351 North Sumneytown Pike North Wales PA 19454 U.S.A.

2. Eli Lilly; 893 S. Delaware Street Indianapolis IN 46285 U.S.A.

3. Department of Health Sciences, University of Leicester; Adrian Building, University Road Leicester LE1 7RH U.K.

4. Department of Statistics and Operations Research, University of North Carolina; 318 Hanes Hall Chapel Hill NC 27599 U.S.A.

5. Genentech; South San Francisco CA U.S.A.

6. Sanofi-Aventis; Paris France

7. Université de Technologie de Compiègne, Centre de Recherche de Royallieu; 60205 Compiègne Cedex France

8. INERIS/CRD/VIVA/METO; Verneuil en Halatte France

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/sim.6141/fullpdf

Reference75 articles.

1. Basic concepts and methods for joint models of longitudinal and survival data;Ibrahim;Journal of Clinical Oncology,2010

2. Longitudinal models of growth and survival applied to the early detection of Alzheimer's disease;McArdle;Journal of Geriatric Psychiatry and Neurology,2005

3. Joint modeling of multiple longitudinal patient-reported outcomes and survival;Hatfield;Journal of Biopharmaceutical Statistics,2011

4. Multilevel Bayesian models for survival times and longitudinal patient-reported outcomes with many zeros;Hatfield;Journal of the American Statistical Association,2012

5. Joint modeling of longitudinal outcomes and survival using latent growth modeling approach in a mesothelioma trial;Wang;Health Services & Outcomes Research Methodologies,2012

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