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lifelines

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Complete survival analysis library in Python. Handles right-censored data, Kaplan-Meier curves, and Cox regression. Standard for clinical trial analysis and epidemiology.

When to use

• Analyzing clinical trial data (time to death, disease progression).
• Comparing survival between treatment groups.
• Identifying risk factors using Cox Proportional Hazards regression.
• Building survival models for prognosis.
• Epidemiology studies (time to infection, recovery).

When not to use

• Regular regression on time-to-event data
• Ignoring censoring in patient data

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