Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/17691
Title: | A characterization of missingness at random in a generalized shared-parameter joint modeling framework for longitudinal and time-to-event data, and sensitivity analysis | Authors: | NJAGI, Edmund MOLENBERGHS, Geert Kenward, Michael G. VERBEKE, Geert Rizopoulos, Dimitris |
Issue Date: | 2014 | Source: | BIOMETRICAL JOURNAL, 56 (6), p. 1001-1015 | Abstract: | We consider a conceptual correspondence between the missing data setting, and joint modeling of longitudinal and time-to-event outcomes. Based on this, we formulate an extended shared random e ects joint model. Based on this, we provide a characterization of missing at random, which is in line with that in the missing data setting. The ideas are illustrated using data from a study on liver cirrhosis, contrasting the new framework with conventional joint models. | Notes: | Corresponding author: e-mail: geert.molenberghs@uhasselt.be | Keywords: | censoring; coarsening; missing at random; missingness; missing not at random; pattern-mixture model; selection model; shared-parameter model. | Document URI: | http://hdl.handle.net/1942/17691 | ISSN: | 0323-3847 | e-ISSN: | 1521-4036 | DOI: | 10.1002/bimj.201300028 | ISI #: | 000344178400008 | Rights: | © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2015 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
gspmJtM022.pdf | Peer-reviewed author version | 529.11 kB | Adobe PDF | View/Open |
bimj1517.pdf Restricted Access | Published version | 213.05 kB | Adobe PDF | View/Open Request a copy |
SCOPUSTM
Citations
6
checked on Sep 3, 2020
WEB OF SCIENCETM
Citations
10
checked on Oct 14, 2024
Page view(s)
74
checked on Sep 6, 2022
Download(s)
150
checked on Sep 6, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.