Simultaneous variable selection for joint models of longitudinal and survival outcomes-Reference-Cited by-同舟云学术

Simultaneous variable selection for joint models of longitudinal and survival outcomes

Published:2014-09-15 Issue:1 Volume:71 Page:178-187
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biom

Author:

He Zangdong¹,Tu Wanzhu¹²,Wang Sijian³,Fu Haoda⁴,Yu Zhangsheng¹

Affiliation:

1. Department of Biostatistics; Indiana University School of Medicine and Fairbanks School of Public Health; Indianapolis, Indiana U.S.A.

2. Regenstrief Institute, Inc.; Indianapolis, Indiana U.S.A.

3. Department of Biostatistics and Medical Informatics; University of Wisconsin; Madison, Wisconsin U.S.A.

4. Eli Lilly & Company; Indianapolis, Indiana U.S.A.

Funder

National Heart, Lung and Blood Institute

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/biom.12221/fullpdf

Reference29 articles.

1. On estimating the relationship between longitudinal measurements and time-to-event data using a simple two-stage procedure;Albert;Biometrics,2010

2. Joint variable selection for fixed and random effects in linear mixed-effects models;Bondell;Biometrics,2010

3. Measuring concurrent adherence to multiple related medications;Choudhry;The American Journal of Managed Care,2009

4. Modelling progression of cd4-lymphocyte count and its relationship to survival time;De Gruttola;Biometrics,1994

5. Least angle regression;Efron;The Annals of Statistics,2004

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