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- W2492359181 abstract "Abstract The data source used in the analysis is described and the details of the construction of the cohort samples outlined. Recidivism, the proportion of offenders reconvicted, is analysed using graphs of numbers of offenders convicted at each appearance number. The use of a logarithmic y-axis clearly identifies constant recidivism for distinct “risk” categories of offender. The risk model is shown to fit the more familiar reconviction probability by previous conviction number graph. A survival time analysis to next conviction identifies two “rate” categories of offender with constant λ exponential survival time distributions. The derivative of the rate model is shown to fit the inter-conviction time distribution. The risk and rate categories are reconciled yielding: high-risk/high-rate, high-risk/low-rate, low-risk/low-rate categories. The influence of follow-up period and gender on the parameter estimates for the risk/rate model is explored and the values are shown to be essentially constant over time. Variations in criminality are discussed." @default.
- W2492359181 created "2016-08-23" @default.
- W2492359181 creator A5016725938 @default.
- W2492359181 creator A5076762560 @default.
- W2492359181 creator A5081573405 @default.
- W2492359181 date "2012-08-23" @default.
- W2492359181 modified "2023-10-14" @default.
- W2492359181 title "An Analysis of the Offenders Index" @default.
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- W2492359181 doi "https://doi.org/10.1093/acprof:oso/9780199697243.003.0002" @default.
- W2492359181 hasPublicationYear "2012" @default.
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