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...

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Bibliographic Details
Main Author:	Rizopoulos, Dimitris
Corporate Author:	ebrary, Inc
Format:	eBook
Language:	English
Published:	Boca Raton : CRC Press, 2012.
Series:	Chapman & Hall/CRC biostatistics series ; 6.
Subjects:	Numerical Analysis, Computer-Assisted. Numerical analysis > Data processing. R (Computer program language) MATHEMATICS / Probability & Statistics / General. MEDICAL / Epidemiology. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

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.