A general joint model for longitudinal measurements and competing risks survival data with heterogeneous random effects

Lifetime Data Analysis

Volumn 17, Issue 1, 2011, Pages 80-100

  Huang, Xin ^a   Li, Gang ^b   Elashoff, Robert M ^c   Pan, Jianxin ^d  

^a AMGEN INC   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Bayesian analysis; Cause specific hazard; Cholesky decomposition; MCMC; Mixed effects model; Modeling covariance matrices

Indexed keywords

ARTICLE; BAYES THEOREM; COMPARATIVE STUDY; HUMAN; LONGITUDINAL STUDY; METHODOLOGY; MONTE CARLO METHOD; PROBABILITY; PROPORTIONAL HAZARDS MODEL; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; SURVIVAL;

BAYES THEOREM; HUMANS; LONGITUDINAL STUDIES; MARKOV CHAINS; MODELS, STATISTICAL; MONTE CARLO METHOD; PROPORTIONAL HAZARDS MODELS; SENSITIVITY AND SPECIFICITY; SURVIVAL ANALYSIS;

EID: 78651422985     PISSN: 13807870     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10985-010-9169-6     Document Type: Article

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