It differs from traditional regression by the fact that parts of the Survival analysis is a type of regression problem (one wants to predict a continuous value), but with a twist. The name survival analysis originates from clinical research, where predicting the time to death, i.e., survival, is often the main objective. The objective in survival analysis - also referred to as reliability analysis in engineering - is to establish a connection between covariates and the time of an event. Measuring the Performance of Survival Modelsįeature Selection: Which Variable is Most Predictive? The Veterans’ Administration Lung Cancer TrialĬonsidering other variables by stratification It allows doing survival analysis while utilizing the power of scikit-learn, e.g., for pre-processing or doing cross-validation. Scikit-survival is a Python module for survival analysis built on top of scikit-learn. ![]() Introduction to Survival Analysis with scikit-survival #
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