Bayesian joint modeling of bivariate longitudinal and competing risks data: An application to study patient-ventilator asynchronies in critical care patients-Reference-Cited by-同舟云学术

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

Published:2017-08-11 Issue:6 Volume:59 Page:1184-1203
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biom. J.

Author:

Rué Montserrat¹²^ORCID,Andrinopoulou Eleni-Rosalina³,Alvares Danilo⁴,Armero Carmen⁴,Forte Anabel⁴,Blanch Lluis⁵⁶⁷

Affiliation:

1. Department of Basic Medical Sciences; Universitat de Lleida-IRBLLEIDA; Lleida 25198 Spain

2. Health Services Research Network in Chronic Diseases (REDISSEC); Spain

3. Erasmus Medical Center; Department of Biostatistics; 3000 CA Rotterdam The Netherlands

4. Department of Statistics and Operational Research; Universitat de València; Burjassot 46100 Spain

5. Critical Care Center, Parc Taulí University Hospital, Institut d'Investigació i Innovació Parc Taulí (I3PT); Universitat Autònoma de Barcelona; Sabadell Spain

6. CIBER Enfermedades Respiratorias; ISCIII; Madrid Spain

7. Asynchronies in the ICU Group (ASYNICU); Spain

Funder

European Regional Development Fund

Generalitat de Catalunya

Coordination for the Improvement of Higher Level Personnel

Generalitat Valenciana

CIBER Enfermedades Respiratorias, Fundación Mapfre, Fundació Parc Taulí

Plan Avanza, MCYIN and MITYC

Ministerio de Economía y Competitividad

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Reference51 articles.

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3. Joint modeling of two longitudinal outcomes and competing risk data;Andrinopoulou;Statistic in Medicine,2014

4. Combined dynamic predictions using joint models of two longitudinal outcomes and competing risk data;Andrinopoulou;Statistical Methods in Medical Research,2015b

5. Bayesian joint ordinal and survival modeling for breast cancer risk assessment;Armero;Statistics in Medicine,2016a

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