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2012-07-09
Joint Models for Longitudinal and Time-to-Event Data: With Applications in R - de Dimitris Rizopoulos (Author)
Details Joint Models for Longitudinal and Time-to-Event Data: With Applications in R
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| Le Titre Du Fichier | Joint Models for Longitudinal and Time-to-Event Data: With Applications in R |
| Date de publication | 2012-07-09 |
| Traducteur | Ejona Izaaz |
| Quantité de Pages | 299 Pages |
| La taille du fichier | 68.61 MB |
| Langue | Anglais & Français |
| Éditeur | Osprey Publishing |
| ISBN-10 | 8217733398-NKR |
| Type de E-Book | AMZ ePub PDF DOTX OMM |
| Auteur | Dimitris Rizopoulos |
| Digital ISBN | 588-4642178776-TXJ |
| Nom de Fichier | Joint-Models-for-Longitudinal-and-Time-to-Event-Data-With-Applications-in-R.pdf |
Télécharger Joint Models for Longitudinal and Time-to-Event Data: With Applications in R Livre PDF Gratuit
Longitudinal and Survival Data Journal of Clinical Oncology 28 16 27962801 Journal of Clinical Oncology 28 16 27962801 Li N Elashoff R M Li G Saver J 2010
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Joint Models for Longitudinal and TimetoEvent Data with Applications in R Boca Raton Chapman HallCRC 5 ProustLima Sene Taylor JacqminGadda 2014
21 Joint Modeling Framework cont’d • To account for the special features of these covariates a new class of models has been developed Joint Models for Longitudinal and TimetoEvent Data • Intuitive idea behind these models 1 use an appropriate model to describe the evolution of the marker in time for each patient 2 the estimated evolutions are then used in a Cox model • Feature
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Joint modeling of longitudinal ordinal data and competing risks survival times and analysis of the NINDS rtPA stroke trial Statistics in Medicine 29 p 546557
Joint models for longitudinal and timetoevent data With applications in R Chapman and HallCRC Rouanet A Joly P Dartigues JF ProustLima C JacqminGadda H Joint latent class model