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Estimating heterogeneous treatment effect by balancing heterogeneity and fitness
BACKGROUND: Estimating heterogeneous treatment effect is a fundamental problem in biological and medical applications. Recently, several recursive partitioning methods have been proposed to identify the subgroups that respond differently towards a treatment, and they rely on a fitness criterion to m...
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| Publicado en: | BMC Bioinformatics |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
BioMed Central
2018
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6311929/ https://ncbi.nlm.nih.gov/pubmed/30598067 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2521-7 |
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