A joint-modeling approach to assess the impact of biomarker variability on the risk of developing clinical outcome

Statistical Methods and Applications

Volumn 20, Issue 1, 2011, Pages 83-100

  Gao, Feng ^a   Miller, J Philip ^a   Xiong, Chengjie ^a   Beiser, Julia A ^a   Gordon, Mae ^a  

^a WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Joint model; Longitudinal data; Markov chain Monte Carlo (MCMC); Patient specific variance; Survival data; WinBUGS

Indexed keywords

EID: 79551553024     PISSN: 16182510     EISSN: 1613981X     Source Type: Journal    
DOI: 10.1007/s10260-010-0150-z     Document Type: Article

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