Random survival forests for competing risks.
نویسندگان
چکیده
We introduce a new approach to competing risks using random forests. Our method is fully non-parametric and can be used for selecting event-specific variables and for estimating the cumulative incidence function. We show that the method is highly effective for both prediction and variable selection in high-dimensional problems and in settings such as HIV/AIDS that involve many competing risks.
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ورودعنوان ژورنال:
- Biostatistics
دوره 15 4 شماره
صفحات -
تاریخ انتشار 2014