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A comparison of approaches for combining predictive markers for personalised treatment recommendations
BACKGROUND: In the presence of heterogeneous treatment effects, it is desirable to divide patients into subgroups based on their expected response to treatment. This is formalised via a personalised treatment recommendation: an algorithm that uses biomarker measurements to select treatments. It coul...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7788953/ https://www.ncbi.nlm.nih.gov/pubmed/33407760 http://dx.doi.org/10.1186/s13063-020-04901-2 |