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Random Forests of Interaction Trees for Estimating Individualized Treatment Effects in Randomized Trials
Assessing heterogeneous treatment effects is a growing interest in advancing precision medicine. Individualized treatment effects (ITE) play a critical role in such an endeavor. Concerning experimental data collected from randomized trials, we put forward a method, termed random forests of interacti...
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| Publicado no: | Stat Med |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6028297/ https://ncbi.nlm.nih.gov/pubmed/29707855 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.7660 |
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