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Distribution-Free Selection of Low-Risk Oncology Patients for Survival Beyond a Time Horizon
We study how to select a subset of patients who are unlikely to experience an adverse event within a given time horizon, by calibrating a screening rule based on the output of any survival model. We consider two complementary frameworks. The first extends the classical idea of estimating the event r
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