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Decision making and uncertainty quantification for individualized treatments using Bayesian Additive Regression Trees
Individualized treatment rules (ITR) can improve health outcomes by recognizing that patients may respond differently to treatment and assigning therapy with the most desirable predicted outcome for each individual. Flexible and efficient prediction models are desired as a basis for such ITRs to han...
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| Gepubliceerd in: | Stat Methods Med Res |
|---|---|
| Hoofdauteurs: | , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2017
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6028324/ https://ncbi.nlm.nih.gov/pubmed/29254443 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280217746191 |
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