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Nonparametric survival analysis using Bayesian Additive Regression Trees (BART)
Bayesian additive regression trees (BART) provide a framework for flexible nonparametric modeling of relationships of covariates to outcomes. Recently, BART models have been shown to provide excellent predictive performance, for both continuous and binary outcomes, and exceeding that of its competit...
Sparad:
| I publikationen: | Stat Med |
|---|---|
| Huvudupphovsmän: | , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2016
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4899272/ https://ncbi.nlm.nih.gov/pubmed/26854022 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.6893 |
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