Evaluating the application of dynamic prediction models in oncological prognostic studies with repeated measurement predictors.

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Bibliographic Details
Title: Evaluating the application of dynamic prediction models in oncological prognostic studies with repeated measurement predictors.
Authors: Zhou Q; Department of Medical Statistics, Clinical Trials Unit, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. zhouq49@mail.sysu.edu.cn., Chen ZH; Department of Liver Surgery, Center of Hepato-pancreato-biliary Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China., Peng S; Clinical Trials Unit, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. pengsui@mail.sysu.edu.cn.
Source: NPJ precision oncology [NPJ Precis Oncol] 2025 Nov 24; Vol. 9 (1), pp. 376. Date of Electronic Publication: 2025 Nov 24.
Publication Type: Journal Article
Journal Info: Publisher: Springer Nature Country of Publication: England NLM ID: 101708166 Publication Model: Electronic Cited Medium: Print ISSN: 2397-768X (Print) Linking ISSN: 2397768X NLM ISO Abbreviation: NPJ Precis Oncol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2397-768X
DOI:10.1038/s41698-025-01162-7