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Jointly modeling time-to-event and longitudinal data: A Bayesian approach

This article explores Bayesian joint models of event times and longitudinal measures with an attempt to overcome departures from normality of the longitudinal response, measurement errors, and shortages of confidence in specifying a parametric time-to-event model. We allow the longitudinal response...

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Autors principals: Huang, Yangxin, Hu, X. Joan, Dagne, Getachew A.
Format: Artigo
Idioma:Inglês
Publicat: 2014
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC3943431/
https://ncbi.nlm.nih.gov/pubmed/24611039
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10260-013-0242-7
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