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Identifying Important Risk Factors for Survival in Systolic Heart Failure Patients Using Random Survival Forests

BACKGROUND: Heart failure survival models are typically constructed using Cox-proportional hazards regression. Regression modeling suffers from a number of limitations, including bias introduced by commonly used variable selection methods. We illustrate the value of an intuitive, robust approach to...

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Библиографические подробности
Главные авторы: Hsich, Eileen, Gorodeski, Eiran Z., Blackstone, Eugene H., Ishwaran, Hemant, Lauer, Michael S.
Формат: Artigo
Язык:Inglês
Опубликовано: 2010
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC3991475/
https://ncbi.nlm.nih.gov/pubmed/21098782
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1161/CIRCOUTCOMES.110.939371
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