Joint Models for Longitudinal and Time-to-Event Data
Crc Press Inc (Verlag)
978-1-4398-7286-4 (ISBN)
All illustrations put forward can be implemented in the R programming language via the freely available package JM written by the author. All the R code used in the book is available at:
http://jmr.r-forge.r-project.org/
Dimitris Rizopoulos is an Assistant Professor at the Department of Biostatistics of the Erasmus University Medical Center in the Netherlands. Dr. Rizopoulos received his M.Sc. in Statistics in 2003 from the Athens University of Economics and Business, and a Ph.D. in Biostatistics in 2008 from the Katholieke Universiteit Leuven. Dr. Rizopoulos wrote his dissertation, as well as a number of methodological articles on various aspects of joint models for longitudinal and time-to-event data. He currently serves as an Associate Editor for Biometrics and Biostatistics, and has been a guest editor for a special issue in joint modeling techniques in Statistical Methods in Medical Research.
Introduction. Analysis of Longitudinal Data. Analysis of Time-to-Event Data. Joint Models for Longitudinal and Time-to-Event Data. Extensions of the Standard Joint Model. Diagnostics. Survival Probabilities and Prospective Accuracy Measures.
| Erscheint lt. Verlag | 9.7.2012 |
|---|---|
| Reihe/Serie | Chapman & Hall/CRC Biostatistics Series |
| Zusatzinfo | 6 Tables, black and white; 36 Illustrations, black and white |
| Verlagsort | Bosa Roca |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 536 g |
| Themenwelt | Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie |
| Naturwissenschaften ► Biologie | |
| ISBN-10 | 1-4398-7286-4 / 1439872864 |
| ISBN-13 | 978-1-4398-7286-4 / 9781439872864 |
| Zustand | Neuware |
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