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Joint Models for Longitudinal and Time-to-Event Data
-0 %
With Applications in R
Besorgungstitel - wird vorgemerkt | Lieferzeit: Besorgungstitel - Lieferbar innerhalb von 10 Werktagen I
Artikel-Nr:
9781032477565
Veröffentl:
2023
Erscheinungsdatum:
21.01.2023
Seiten:
278
Autor:
Dimitris Rizopoulos
Gewicht:
444 g
Format:
233x154x18 mm
Sprache:
Englisch
Beschreibung:
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.
Longitudinal studies often investigate how a marker that is repeatedly measured in time is associated with a time to an event of interest. An example is prostate cancer studies where longitudinal PSA level measurements are collected in conjunction with the time-to-recurrence. This book provides a full treatment of joint models for longitudinal a
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.