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Showing 1 to 1 of 1 for “"Survival analysis and prediction"”.
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Reframing Cox Proportional Hazards Model for Big Data and Neural Networks
In many medical and biomedical applications, we measure the outcome as a “time-to-event” (e.g., disease progression or death). The aim of this dissertation is to propose frameworks for survival analysis and prediction with survival data that include many observations, ultra-high dimensional …