Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach

BACKGROUND: The individual data collected throughout patient follow-up constitute crucial information for assessing the risk of a clinical event, and eventually for adapting a therapeutic strategy. Joint models and landmark models have been proposed to compute individual dynamic predictions from rep...

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Detalles Bibliográficos
Autores principales: Devaux, Anthony, Genuer, Robin, Peres, Karine, Proust-Lima, Cécile
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Technical Advance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9275051/
https://www.ncbi.nlm.nih.gov/pubmed/35818025
http://dx.doi.org/10.1186/s12874-022-01660-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9275051/
https://www.ncbi.nlm.nih.gov/pubmed/35818025
http://dx.doi.org/10.1186/s12874-022-01660-3

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