Joint modeling of longitudinal and time-to-event data / Robert M. Elashoff, Gang Li, and Ning Li.
Material type:
TextSeries: Monographs on statistics and applied probability ; 151.Publication details: Bica Ratib : CRC Press, ©2017.Description: xix, 241 pages : illustrations ; 24 cmISBN: - 9781439807828
- 000SA.07 23 El37
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.07 El37 (Browse shelf(Opens below)) | Available | 138375 |
Browsing ISI Library, Kolkata shelves Close shelf browser (Hides shelf browser)
| 000SA.07 D395 Applied univariate, bivariate, and multivariate statistics / | 000SA.07 D573 Statistical analysis of spatial and spatio-temporal point patterns / | 000SA.07 D951 Principles of copula theory / | 000SA.07 El37 Joint modeling of longitudinal and time-to-event data / | 000SA.07 H112 Multivariate general linear models / | 000SA.07 H264 Applied multivariate statistical analysis / | 000SA.07 H286 Essence of multivariate thinking : basic themes and methods / |
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.
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
There are no comments on this title.
