Comparison of causal forest and regression-based approaches to evaluate treatment effect heterogeneity: an application for type 2 diabetes precision medicine

OBJECTIVE: Precision medicine requires reliable identification of variation in patient-level outcomes with different available treatments, often termed treatment effect heterogeneity. We aimed to evaluate the comparative utility of individualized treatment selection strategies based on predicted ind...

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Detalles Bibliográficos
Autores principales: Venkatasubramaniam, Ashwini, Mateen, Bilal A., Shields, Beverley M., Hattersley, Andrew T., Jones, Angus G., Vollmer, Sebastian J., Dennis, John M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10276367/
https://www.ncbi.nlm.nih.gov/pubmed/37328784
http://dx.doi.org/10.1186/s12911-023-02207-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10276367/
https://www.ncbi.nlm.nih.gov/pubmed/37328784
http://dx.doi.org/10.1186/s12911-023-02207-2

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