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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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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2014
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| Assuntos: | |
| Acceso en liña: | 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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