Recidivism Survival Analysis
Recidivism survival analysis models the time from a release or index event until an individual reoffends, treating reoffending as a time-to-event ('failure') outcome with censoring for those not observed to fail. It applies survival methods — Kaplan-Meier curves, Cox proportional-hazards regression, and split-population models — to answer not just whether someone recidivates but how quickly and what raises or lowers that risk over time.
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Sources
- Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society: Series B, 34(2), 187–202. DOI: 10.1111/j.2517-6161.1972.tb00899.x ↗
- Schmidt, P., & Witte, A. D. (1988). Predicting Recidivism Using Survival Models. Springer-Verlag. ISBN: 9781461283003
How to cite this page
ScholarGate. (2026, June 22). Survival Analysis of Time to Recidivism. ScholarGate. https://scholargate.app/en/criminology/recidivism-survival-analysis
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- Cox proportional hazardsEpidemiology↔ compare
- Criminal Career ParadigmCriminology↔ compare
- Kaplan-Meier EstimatorStatistics↔ compare
- Survival RegressionStatistics↔ compare