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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 Njeru
MOLENBERGHS, Geert
KENWARD, Michael G.
VERBEKE, Geert
RIZOPOULOS, Dimitris
Issue Date: 2014
Citation: 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
URI: http://hdl.handle.net/1942/17691
DOI: 10.1002/bimj.201300028
ISI #: 000344178400008
ISSN: 0323-3847
Category: A1
Type: Journal Contribution
Validation: ecoom, 2015
Appears in Collections: Research publications

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