Longitudinal analysis of health-related quality of life in cancer clinical trials: methods and interpretation of results.

Date publication

août 2020

Journal

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation

Auteurs

Membres identifiés du Cancéropôle Est :
Pr CONROY Thierry

Tous les auteurs :
Bascoul-Mollevi C, Barbieri A, Bourgier C, Conroy T, Chauffert B, Hebbar M, Jacot W, Juzyna B, De Forges H, Gourgou S, Bonnetain F, Touraine C, Anota A

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/32809099

Résumé

Health-related quality of life (HRQoL) is assessed by self-administered questionnaires throughout the care process. Classically, two longitudinal statistical approaches were mainly used to study HRQoL: linear mixed models (LMM) or time-to-event models for time to deterioration/time until definitive deterioration (TTD/TUDD). Recently, an alternative strategy based on generalized linear mixed models for categorical data has also been proposed: the longitudinal partial credit model (LPCM). The objective of this article is to evaluate these methods and to propose recommendations to standardize longitudinal analysis of HRQoL data in cancer clinical trials.

Mots clés

Cancer, Clinical trial, Generalized linear mixed model, Health-related quality of life, Longitudinal analysis, Time to deterioration

Référence

Qual Life Res. 2020 Aug 18;: