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Joint models for longitudinal and time-to-event data : with applications in R
"Preface Joint models for longitudinal and time-to-event data have become a valuable tool in the analysis of follow-up data. These models are applicable mainly in two settings: First, when focus is in the survival outcome and we wish to account for the effect of an endogenous time-dependent cov...
| Autor principal: | |
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| Formato: | Libro |
| Lenguaje: | English |
| Publicado: |
Boca Raton :
CRC Press,
©2012.
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| Colección: | Chapman & Hall/CRC biostatistics series ;
6 |
| Materias: | |
| Acceso en línea: | http://www.crcnetbase.com/isbn/9781439872864 http://www.crcnetbase.com/isbn/9781439872871 http://site.ebrary.com/id/10574354 http://www.myilibrary.com?id=530520 http://lib.myilibrary.com/detail.asp?id=530520 http://alltitles.ebrary.com/Doc?id=10574354 http://marc.crcnetbase.com/isbn/9781439872871 |
Tabla de Contenidos:
- 1. Introduction
- 2. Longitudinal data analysis
- 3. Analysis of event time data
- 4. Joint models for longitudinal and time-to-event data
- 5. Extensions of the standard joint model
- 6. Joint model diagnostics
- 7. Prediction and accuracy in joint models.