Survival prediction models: an introduction to discrete-time modeling.
Background: Prediction models for time-to-event outcomes are commonly used in biomedical research to obtain subject-specific probabilities that aid in making important clinical care decisions. There are several regression and machine learning methods for building these models that have been designed...
| Publicado en: | BMC Medical Research Methodology Vol. 22; no. 1; pp. 1 - 19 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
BioMed Central
7/26/2022
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| Acceso en línea: | Ver este registro en EBSCOhost |