Opportunities and challenges in pooling health-related quality-of-life data for prediction modeling in breast cancer across Europe: lessons from the EORTC BALANCE project.

Heijden van der, TGW.; Ligt de, KM.; Hubel, NJ.; Rooij de, BH.; Holzner, B.; Velikova, G.; Verkooijen, HM.; Arndt, Volker; Poll-Franse van de, LV.; Kist, IR.; Hoedjes, M.

doi:doi:10.1016/j.esmorw.2025.100172

TY  - JOUR
AU  - Heijden van der, TGW.
AU  - Hubel, NJ.
AU  - Ligt de, KM.
AU  - Kist, IR.
AU  - Arndt, Volker
AU  - Verkooijen, HM.
AU  - Velikova, G.
AU  - Hoedjes, M.
AU  - Rooij de, BH.
AU  - Holzner, B.
AU  - Poll-Franse van de, LV.
TI  - Opportunities and challenges in pooling health-related quality-of-life data for prediction modeling in breast cancer across Europe: lessons from the EORTC BALANCE project.
JO  - ESMO real world data and digital oncology
VL  - 9
SN  - 2949-8201
CY  - [Amsterdam]
PB  - Elsevier B.V.
M1  - DKFZ-2025-02629
SP  - 100172
PY  - 2025
N1  - Volume 9, September 2025, 100172
LB  - PUB:(DE-HGF)16
DO  - DOI:doi:10.1016/j.esmorw.2025.100172
UR  - https://inrepo02.dkfz.de/record/306590
ER  -

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