Performance metrics for models designed to predict treatment effect

BACKGROUND: Measuring the performance of models that predict individualized treatment effect is challenging because the outcomes of two alternative treatments are inherently unobservable in one patient. The C-for-benefit was proposed to measure discriminative ability. However, measures of calibratio...

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Detalles Bibliográficos
Autores principales: Maas, C. C. H. M., Kent, D. M., Hughes, M. C., Dekker, R., Lingsma, H. F., van Klaveren, D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329397/
https://www.ncbi.nlm.nih.gov/pubmed/37422647
http://dx.doi.org/10.1186/s12874-023-01974-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329397/
https://www.ncbi.nlm.nih.gov/pubmed/37422647
http://dx.doi.org/10.1186/s12874-023-01974-w

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