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

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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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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Nature%22">Springer Nature </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101708166 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2397-768X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222397768X%22">2397768X </searchLink><i>NLM ISO Abbreviation: </i>NPJ Precis Oncol <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1038/s41698-025-01162-7
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        StartPage: 376
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      – TitleFull: Evaluating the application of dynamic prediction models in oncological prognostic studies with repeated measurement predictors.
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              Text: 2025 Nov 24
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              Y: 2025
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