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A stochastic multiple imputation algorithm for missing covariate data in tree-structured survival analysis
Missing covariate data present a challenge to tree-structured methodology due to the fact that a single tree model, as opposed to an estimated parameter value, may be desired for use in a clinical setting. To address this problem, we suggest a multiple imputation algorithm that adds draws of stochas...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2010
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3021888/ https://ncbi.nlm.nih.gov/pubmed/20963751 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.4079 |
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