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Predicting the risk of a clinical event using longitudinal data: the generalized landmark analysis
BACKGROUND: In the development of prediction models for a clinical event, it is common to use the static prediction modeling (SPM), a regression model that relates baseline predictors to the time to event. In many situations, the data used in training and validation are from longitudinal studies, wh...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824910/ https://www.ncbi.nlm.nih.gov/pubmed/36611147 http://dx.doi.org/10.1186/s12874-022-01828-x |