Bayesian joint modeling of bivariate longitudinal and competing risks data: An application to study patient-ventilator asynchronies in critical care patients

Biometrical Journal

Volumn 59, Issue 6, 2017, Pages 1184-1203

  Rué, Montserrat ^a,b   Andrinopoulou, Eleni Rosalina ^c   Alvares, Danilo ^d   Armero, Carmen ^d   Forte, Anabel ^d   Blanch, Lluis ^e,f,g  

^a UNIVERSITY OF LLEIDA   (Spain)

^b Health Services Research Network in Chronic Diseases (REDISSEC)   (Spain)

^c ERASMUS MEDICAL CENTER   (Netherlands)

^d UNIVERSITY OF VALENCIA   (Spain)

^e PARC TAULÍ HOSPITAL UNIVERSITARI   (Spain)

^f INSTITUTO DE SALUD CARLOS III   (Spain)

^g Asynchronies in the ICU Group (ASYNICU)   (Spain)

Author keywords

Bayesian inference; Competing risks; Intensive care; Joint models; Model selection

Indexed keywords

DIAGNOSIS; INFERENCE ENGINES; REGRESSION ANALYSIS; VENTILATION;

ASYNCHRONY; BAYESIAN; BAYESIAN INFERENCE; BIVARIATE; COMPETING RISKS; FAILURE ASSESSMENT; INTENSIVE CARE; JOINT MODELS; MODEL SELECTION; ORGAN FAILURE;

BAYESIAN NETWORKS;

ARTIFICIAL VENTILATION; BAYES THEOREM; BIOMETRY; BREATHING; HUMAN; INTENSIVE CARE; LONGITUDINAL STUDY; PROCEDURES; RISK; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

BAYES THEOREM; BIOMETRY; CRITICAL CARE; HUMANS; LONGITUDINAL STUDIES; MODELS, STATISTICAL; RESPIRATION; RESPIRATION, ARTIFICIAL; RISK;

EID: 85033801639     PISSN: 03233847     EISSN: 15214036     Source Type: Journal    
DOI: 10.1002/bimj.201600221     Document Type: Article

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