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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 and implementation patterns for a wide range of models, including Cox Proportional Hazards, Random Survival Forests, and Gradient Boosting, along with rigorous evaluation metrics like Uno's C-index and Brier scores. Whether you are analyzing clinical trial results, industrial equipment failure, or customer churn, this skill ensures best practices are followed for data preparation, model selection, and the interpretation of time-to-event results.
