When a joint model should be preferred over a linear mixed model for analysis of longitudinal health-related quality of life data in cancer clinical trials

When a joint model should be preferred over a linear mixed model for analysis of longitudinal health-related quality of life data in cancer clinical trials

Abstract Background Patient-reported outcomes such as health-related quality of life (HRQoL) are increasingly used as endpoints in randomized cancer clinical trials. However, the patients often drop out so that observation of the HRQoL longitudinal outcome ends prematurely, leading to monotone missi...

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Bibliographic Details
Main Authors: Célia Touraine, Benjamin Cuer, Thierry Conroy, Beata Juzyna, Sophie Gourgou, Caroline Mollevi
Format: Article
Language:English
Published: BMC 2023-02-01
Series:BMC Medical Research Methodology
Subjects:
Joint model
Informative dropout
Linear mixed model
Random intercept and slope model
Health-related quality of life
Longitudinal outcome
Online Access:https://doi.org/10.1186/s12874-023-01846-3

Internet

https://doi.org/10.1186/s12874-023-01846-3

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