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

Abstract 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 subpopu...

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Dettagli Bibliografici

Autori principali:	Jiahui Zhang, Weili Kong, Pingzhao Hu, Derek Jonker, Malcolm Moore, Jolie Ringash, Jeremy Shapiro, John Zalcberg, John Simes, Dongsheng Tu, Chris J. O'Callaghan, Geoffrey Liu, Wei Xu
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Wiley 2023-03-01
Serie:	Cancer Medicine
Soggetti:	cancer treatment clustering growth mixture model quality of life survival analysis
Accesso online:	https://doi.org/10.1002/cam4.5341
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