Prediction of transplant-free survival in idiopathic pulmonary fibrosis patients using joint models for event times and mixed multivariate longitudinal data
We implement a joint model for mixed multivariate longitudinal measurements, applied to the prediction of time until lung transplant or death in idiopathic pulmonary fibrosis. Specifically, we formulate a unified Bayesian joint model for the mixed longitudinal responses and time-to-event outcomes. F...
| Publié dans: | Journal of applied statistics. - 1991. - 41(2014), 10 vom: 01. Jan., Seite 2192-2205 |
|---|---|
| Auteur principal: | |
| Autres auteurs: | , , |
| Format: | Article |
| Langue: | English |
| Publié: |
2014
|
| Accès à la collection: | Journal of applied statistics |
| Sujets: | Journal Article Idiopathic Pulmonary Fibrosis Joint model Mixed continuous and binary data Multivariate longitudinal data Prediction model Shared parameter model Survival analysis |