Clustering on longitudinal quality‐of‐life measurements using growth mixture models for clinical prognosis: Implementation on CCTG/AGITG CO.20 trial

INTRODUCTION: Analyzing longitudinal cancer quality‐of‐life (QoL) measurements and their impact on clinical outcomes may improve our understanding of patient trajectories during systemic therapy. We applied an unsupervised growth mixture modeling (GMM) approach to identify unobserved subpopulations...

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Detalles Bibliográficos
Autores principales: Zhang, Jiahui, Kong, Weili, Hu, Pingzhao, Jonker, Derek, Moore, Malcolm, Ringash, Jolie, Shapiro, Jeremy, Zalcberg, John, Simes, John, Tu, Dongsheng, O'Callaghan, Chris J., Liu, Geoffrey, Xu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
RESEARCH ARTICLES
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028035/
https://www.ncbi.nlm.nih.gov/pubmed/36281472
http://dx.doi.org/10.1002/cam4.5341

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028035/
https://www.ncbi.nlm.nih.gov/pubmed/36281472
http://dx.doi.org/10.1002/cam4.5341

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