Handling informative dropout in longitudinal analysis of health-related quality of life: application of three approaches to data from the esophageal cancer clinical trial PRODIGE 5/ACCORD 17

Abstract Background Health-related quality of life (HRQoL) has become a major endpoint to assess the clinical benefit of new therapeutic strategies in oncology clinical trials. Typically, HRQoL outcomes are analyzed using linear mixed models (LMMs). However, longitudinal analysis of HRQoL in the pre...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijät: B. Cuer, C. Mollevi, A. Anota, E. Charton, B. Juzyna, T. Conroy, C. Touraine
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: BMC 2020-09-01
Sarja:BMC Medical Research Methodology
Aiheet:
Pattern-mixture model
Selection model
Shared-parameters model
Joint modeling
Health-related quality of life
Informative dropout
Linkit:http://link.springer.com/article/10.1186/s12874-020-01104-w
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