Bayesian inference for joint modelling of longitudinal continuous, binary and ordinal events

Statistical Methods in Medical Research

Volumn 25, Issue 6, 2016, Pages 2521-2540

  Li, Qiuju ^a   Pan, Jianxin ^a   Belcher, John ^b  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b KEELE UNIVERSITY   (United Kingdom)

Author keywords

binary data; Gibbs sampling; joint modelling; longitudinal multivariate outcomes; ordinal; random effects

Indexed keywords

ARTICLE; BAYES THEOREM; BODY MASS; COHORT ANALYSIS; DEPRESSION; ENGLAND; HOSPITAL ANXIETY AND DEPRESSION SCALE; HUMAN; INFERENTIAL STATISTICS; OUTCOME ASSESSMENT; REFERENCE VALUE; SHORT FORM 36; SIMULATION; STATISTICAL MODEL; FEMALE; HEALTH SURVEY; LONGITUDINAL STUDY; MALE; MIDDLE AGED; MULTIVARIATE ANALYSIS; STATISTICAL ANALYSIS;

BAYES THEOREM; BODY MASS INDEX; DATA INTERPRETATION, STATISTICAL; DEPRESSION; ENGLAND; FEMALE; HEALTH SURVEYS; HUMANS; LONGITUDINAL STUDIES; MALE; MIDDLE AGED; MULTIVARIATE ANALYSIS;

EID: 84995804501     PISSN: 09622802     EISSN: 14770334     Source Type: Journal    
DOI: 10.1177/0962280214526199     Document Type: Article

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