Bayesian inference for an illness-death model for stroke with cognition as a latent time-dependent risk factor

Statistical Methods in Medical Research

Volumn 24, Issue 6, 2015, Pages 769-787

  Van Den Hout, Ardo ^a   Fox, Jean Paul ^b   Klein Entink, Rinke H ^c  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b UNIVERSITY OF TWENTE   (Netherlands)

^c TNO   (Netherlands)

Author keywords

item response theory; Markov chain Monte Carlo; mini mental state examination; multi state model; random effects

Indexed keywords

AGED; ALGORITHM; ARTICLE; BAYESIAN INFERENCE; CAUSE OF DEATH; CEREBROVASCULAR ACCIDENT; COGNITION; COGNITIVE DEFECT; HUMAN; LINEAR SYSTEM; MAJOR CLINICAL STUDY; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; MENTAL PERFORMANCE; MINI MENTAL STATE EXAMINATION; MONTE CARLO METHOD; PREDICTION; PROBABILITY; RISK FACTOR; BAYES THEOREM; COGNITION DISORDERS; COMPLICATION; MARKOV CHAIN; MORTALITY; STATISTICAL MODEL; TIME FACTOR;

AGED; BAYES THEOREM; COGNITION DISORDERS; HUMANS; MARKOV CHAINS; MODELS, STATISTICAL; MONTE CARLO METHOD; RISK FACTORS; STROKE; TIME FACTORS;

EID: 84948416898     PISSN: 09622802     EISSN: 14770334     Source Type: Journal    
DOI: 10.1177/0962280211426359     Document Type: Article

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