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| Static-99 Assessment× | Recidivism Survival Analysis× | |
|---|---|---|
| Ämnesområde | Criminology | Criminology |
| Familj≠ | Process / pipeline | Survival analysis |
| Ursprungsår≠ | 2000 | 1988 |
| Upphovsperson≠ | R. Karl Hanson & David Thornton | David R. Cox (method); Peter Schmidt & Ann Dryden Witte (criminological application) |
| Typ≠ | Actuarial sexual recidivism risk instrument | Time-to-event regression for reoffending |
| Ursprungskälla≠ | Hanson, R. K., & Thornton, D. (2000). Improving risk assessments for sex offenders: A comparison of three actuarial scales. Law and Human Behavior, 24(1), 119–136. DOI ↗ | Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society: Series B, 34(2), 187–202. DOI ↗ |
| Alias | Static-99, Static-99R, Static 99, Static-99 Sexual Recidivism Risk Tool | Time-to-Recidivism Modeling, Recidivism Hazard Modeling, Failure-Time Analysis of Reoffending, Survival Analysis of Reoffending |
| Närliggande | 4 | 4 |
| Sammanfattning≠ | Static-99, and its age-revised form Static-99R, is the most widely used actuarial instrument for estimating sexual and violent recidivism risk among adult male sexual offenders. It scores ten unchanging, historical risk factors into a total that maps onto a risk category and, via published norm tables, an estimated probability of reoffending — providing a standardized, evidence-based anchor for forensic risk decisions. | 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. |
| ScholarGateDatamängd ↗ |
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