ESTIMATING THE RISK OF REOFFENDING BY USING EXPONENTIAL MIXTURE-MODELS

In deciding whether to release a prisoner on parole, the Parole Board as provided with a statistical score which estimates the chance that t he prisoner will reoffend within the period of time that he or she wou ld otherwise be in prison. This score is based on a survival analysis of data on a sample of releases from long-term prison sentences. To ca pture most reoffences which occur within 2 years of release, follow-up must continue for at least 3 years to allow for the delay between off ence and conviction. We reanalyse the data by using a model which expl icitly allows for this delay. The new analysis can be applied to data with a substantially shorter length of follow-up. This means that risk scores can be constructed from more up-to-date data and at less cost.