Manuals EORTC – Quality of Life
Using machine learning to predict health-related quality of life outcomes in patients with low grade glioma, meningioma, and acoustic neuroma
Development, characteristics and validity of the EORTC QLQ-PR25
PDF) The impact of the Covid-19 pandemic on quality of life in skin cancer patients
Addendum To The EORTC QLQ-C30 Scoring Manual: Scoring of The EORTC
EORTC QLQ-C30 Scoring Manual
PDF) The impact of the Covid-19 pandemic on quality of life in skin cancer patients
PDF) Establishing anchor-based minimally important differences
PDF) Prediction of Breast Cancer Treatment–Induced Fatigue by Machine Learning Using Genome-Wide Association Data
EORTC Quality of Life Questionnaire-Core 30 (EORTC QLQ-C30
EORTC QLQ-C30 Scoring Manual