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Joint Models for Longitudinal and Time-to-Event Data: With Applications in R (Chapman & Hall/CRC Biostatistics) - Softcover

Rizopoulos, Dimitris

 
9781032477565: Joint Models for Longitudinal and Time-to-Event Data: With Applications in R (Chapman & Hall/CRC Biostatistics)
Softcover
ISBN 10: 1032477563 ISBN 13: 9781032477565
Verlag: Chapman and Hall/CRC, 2023

Inhaltsangabe

In longitudinal studies it is often of interest to investigate how a marker that is repeatedly measured in time is associated with a time to an event of interest, e.g., prostate cancer studies where longitudinal PSA level measurements are collected in conjunction with the time-to-recurrence. Joint Models for Longitudinal and Time-to-Event Data: With Applications in R provides a full treatment of random effects joint models for longitudinal and time-to-event outcomes that can be utilized to analyze such data. The content is primarily explanatory, focusing on applications of joint modeling, but sufficient mathematical details are provided to facilitate understanding of the key features of these models.



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/



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Über die Autorin bzw. den Autor

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.

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Verlag
Chapman and Hall/CRC
Erscheinungsdatum
2023
Sprache
Englisch
ISBN 10 
1032477563
ISBN 13 
9781032477565
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
278
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Taylor & Francis Verlag GmbH
GPSR@taylorandfrancis.com

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