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Oblique random survival forests incorporate linear combinations of input variables into random survival forests (Ishwaran, 2008 doi:10.1214/08-AOAS169). Regularized Cox proportional hazard models (Simon, 2016 doi:10.18637/jss.v039.i05) are used to identify optimal linear combinations of input variables.
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