Core ML Concepts · intermediate · concept 41 of 311 · Updated Nov 4, 2026
Survival Analysis
Survival analysis models the time until an event: a patient relapses, a machine fails, a customer cancels. Its defining feature is censoring, where for some records the event has not happened yet, so the true time is only known to be longer than what was observed. Dropping those rows biases everything. The Kaplan-Meier curve (1958) estimates survival over time and the Cox model (1972) relates it to covariates.
Top AI contributors on this
- Michael I. JordanInria Paris / UC Berkeley (emeritus)
- John HopfieldPrinceton University (emeritus)
- Cassie KozyrkovIndependent (formerly Google)
- Chelsea FinnStanford University / Physical Intelligence
- Daphne Kollerinsitro
- Sébastien BubeckOpenAI
Key terms
Where you meet it in the real world
Clinical trial endpoints, customer churn and retention, predictive maintenance, credit default timing, employee attrition
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MarinStatsLectures-R Programming & Statistics · YouTube
PyData · YouTube
zedstatistics · YouTube
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