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This skill empowers Claude to perform advanced survival analysis, focusing on the unique challenges of censored data where event times are only partially known. It provides expert guidance on fitting Cox proportional hazards models, implementing ensemble methods like Random Survival Forests and Gradient Boosting, and training Survival Support Vector Machines. Whether you are conducting clinical research, analyzing equipment failure, or predicting customer churn, this skill offers standardized workflows for data preprocessing, non-parametric estimation, and rigorous model evaluation using specialized metrics like the concordance index and Brier score.
