TY  - BOOK
AU  - Elashoff,Robert M.
AU  - Li,Gang
AU  - Li,Ning
TI  - Joint modeling of longitudinal and time-to-event data
T2  - Monographs on statistics and applied probability
SN  - 9781439807828
U1  - 000SA.07 23
PY  - 2017///
CY  - Bica Ratib
PB  - CRC Press
KW  - Longitudinal method
N1  - Includes bibliographical references and index; 1. Introduction and examples --
2. Methods for longitudinal measurements with ignorable missing data --
3. Methods for time-to-event data --
4. Overview of joint models for longitudinal and time-to-event data --
5. Joint models for longitudinal data and continuous event times from competing risks --
6. Joint models for multivariate longitudinal and survival data --
 Further topics
N2  - 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
ER  -