Item response models for the longitudinal analysis of health-related quality of life in cancer clinical trials.

Date publication

septembre 2017

Journal

BMC medical research methodology

Auteurs

Membres identifiés du Cancéropôle Est :
Pr CONROY Thierry

Tous les auteurs :
Barbieri A, Peyhardi J, Conroy T, Gourgou S, Lavergne C, Mollevi C

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/28950850

Résumé

The use of health-related quality of life (HRQoL) as an endpoint in cancer clinical trials is growing rapidly. Hence, research into the statistical approaches used to analyze HRQoL data is of major importance, and could lead to a better understanding of the impact of treatments on the everyday life and care of patients. Amongst the models that are used for the longitudinal analysis of HRQoL, we focused on the mixed models from item response theory, to directly analyze raw data from questionnaires.

Mots clés

Health-related quality of life, Item response theory, Longitudinal analysis, Mixed models, Ordinal data

Référence

BMC Med Res Methodol. 2017 Sep;17(1):148