Modeling markers of disease progression by a hidden Markov process: Application to characterizing CD4 cell decline

Biometrics

Volumn 56, Issue 3, 2000, Pages 733-741

  Guihenneuc Jouyaux, Chantal ^a   Richardson, Sylvia ^b   Longini, Ira M ^c  

^a University of Paris 5   (France)

^b INSERM   (France)

^c EMORY UNIVERSITY   (United States)

Author keywords

AIDS; Bayesian hierarchical model; CD4 cells; Gibbs sampling; Markov chain Monte Carlo; Markov process; Measurement error; Multistate models

Indexed keywords

CHAINS; DISEASE CONTROL; HIERARCHICAL SYSTEMS; MARKOV PROCESSES; MONTE CARLO METHODS; STOCHASTIC SYSTEMS;

AIDS; BAYESIAN HIERARCHICAL MODELLING; CD4 CELL; DISEASE PROGRESSION; GIBBS SAMPLING; HIDDEN MARKOV PROCESS; MARKOV CHAIN MONTE CARLO; MARKOV CHAIN MONTE-CARLO; MULTI-STATE MODEL; PROCESS APPLICATIONS;

MEASUREMENT ERRORS;

ACQUIRED IMMUNE DEFICIENCY SYNDROME; ALGORITHM; ARTICLE; BAYES THEOREM; DISEASE COURSE; LYMPHOCYTE; MODEL; STATISTICAL ANALYSIS; STOCHASTIC MODEL; SYSTEM ANALYSIS;

EID: 0033864135     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2000.00733.x     Document Type: Article

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