Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/24012
Title: | A flexible joint modeling framework for longitudinal and time-to-event data with overdispersion | Authors: | NJAGI, Edmund MOLENBERGHS, Geert Rizopoulos, Dimitris VERBEKE, Geert Kenward, Michael G. DENDALE, Paul WILLEKENS, Koen |
Issue Date: | 2016 | Source: | STATISTICAL METHODS IN MEDICAL RESEARCH, 25(4), p. 1661-1676 | Abstract: | We combine conjugate and normal random effects in a joint model for outcomes, at least one of which is non-Gaussian, with particular emphasis on cases in which one of the outcomes is of survival type. Conjugate random effects are used to relax the often-restrictive mean-variance prescription in the non-Gaussian outcome, while normal random effects account for not only the correlation induced by repeated measurements from the same subject but also the association between the different outcomes. Using a case study in chronic heart failure, we show that model fit can be improved, even resulting in impact on significance tests, by switching to our extended framework. By first taking advantage of the ease of analytical integration over conjugate random effects, we easily estimate our framework, by maximum likelihood, in standard software. | Keywords: | partial marginalization; Poisson-gamma-normal model; probit-beta-normal model; Weibull-gamma-normal model | Document URI: | http://hdl.handle.net/1942/24012 | ISSN: | 0962-2802 | e-ISSN: | 1477-0334 | DOI: | 10.1177/0962280213495994 | ISI #: | 000382871200035 | Rights: | (c) The Author(s) 2013 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2017 vabb 2015 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
JointModeling018.pdf | Peer-reviewed author version | 308.43 kB | Adobe PDF | View/Open |
0962280213495994.pdf Restricted Access | Published version | 180.19 kB | Adobe PDF | View/Open Request a copy |
SCOPUSTM
Citations
6
checked on Sep 3, 2020
WEB OF SCIENCETM
Citations
6
checked on Oct 13, 2024
Page view(s)
58
checked on Sep 7, 2022
Download(s)
98
checked on Sep 7, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.