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.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- 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
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.