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Dynamic updating of clinical survival prediction models in a changing environment

Abstract Background Over time, the performance of clinical prediction models may deteriorate due to changes in clinical management, data quality, disease risk and/or patient mix. Such prediction models must be updated in order to remain useful. In this study, we investigate dynamic model updating of...

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Bibliografische Detailangaben
Hauptverfasser: Kamaryn T. Tanner, Ruth H. Keogh, Carol A. C. Coupland, Julia Hippisley-Cox, Karla Diaz-Ordaz
Format: Artigo
Sprache:Inglês
Veröffentlicht: BMC 2023-12-01
Schriftenreihe:Diagnostic and Prognostic Research
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Online-Zugang:https://doi.org/10.1186/s41512-023-00163-z
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