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...
Main Authors: | Kamaryn T. Tanner, Ruth H. Keogh, Carol A. C. Coupland, Julia Hippisley-Cox, Karla Diaz-Ordaz |
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Format: | Article |
Language: | English |
Published: |
BMC
2023-12-01
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Series: | Diagnostic and Prognostic Research |
Subjects: | |
Online Access: | https://doi.org/10.1186/s41512-023-00163-z |
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