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Recidivism Survival Analysis×Criminal Career Paradigm×
TudományterületCriminologyCriminology
MódszercsaládSurvival analysisProcess / pipeline
Keletkezés éve19881986
MegalkotóDavid R. Cox (method); Peter Schmidt & Ann Dryden Witte (criminological application)Alfred Blumstein, Jacqueline Cohen, Jeffrey Roth & Christy Visher
TípusTime-to-event regression for reoffendingConceptual framework for decomposing offending over the life course
AlapműCox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society: Series B, 34(2), 187–202. DOI ↗Blumstein, A., Cohen, J., Roth, J. A., & Visher, C. A. (Eds.). (1986). Criminal Careers and 'Career Criminals' (Vols. 1–2). National Academy Press. ISBN: 9780309036887
Alternatív nevekTime-to-Recidivism Modeling, Recidivism Hazard Modeling, Failure-Time Analysis of Reoffending, Survival Analysis of ReoffendingCriminal Careers Framework, Career Criminal Paradigm, Offending Career Approach, Blumstein Criminal Career Model
Kapcsolódó44
ÖsszefoglalóRecidivism 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.The criminal career paradigm is a framework for studying offending as a longitudinal sequence in an individual's life rather than as undifferentiated aggregate crime. Codified by Blumstein, Cohen, Roth, and Visher in the 1986 National Academy of Sciences report, it decomposes crime into distinct dimensions — whether someone offends (participation), how often active offenders offend (frequency, λ), and the onset, seriousness, and duration of the career — each potentially with different causes.
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ScholarGateMódszerek összehasonlítása: Recidivism Survival Analysis · Criminal Career Paradigm. Letöltve 2026-06-25, forrás: https://scholargate.app/hu/compare