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Testing the Static-99R as a Global Screen for Risk of Sex Crime Recidivism in a Norwegian Routine Sample.

Ingeborg Jenssen SandbuktTorbjørn SkardhamarRagnar KristoffersenChristine Friestad
Published in: Sexual abuse : a journal of research and treatment (2020)
The Static-99R has been recommended for use as a first global screen for sorting out sex-convicted persons who are in need of further risk assessment. This study investigated the Static-99R's predictive validity based on a nonselected Norwegian sample (n = 858) of persons released from prison after having served a sex crime sentence. After a mean observation period of 2,183 days, 3.4% (n = 29) had recidivated to a new sex offense. A higher number of recidivists were found among those with higher Static-99R total scores. The predictive contribution from each of the ten Static-99R risk items was investigated using standard logistic regression, proportional hazard regression, and random forest classification algorithm. The overall results indicate that the Static-99R is relevant as a risk screen in a Norwegian context, providing similar results concerning predictive accuracy as previous studies.
Keyphrases
  • risk assessment
  • high throughput
  • machine learning
  • deep learning
  • climate change
  • clinical practice
  • mass spectrometry
  • human health
  • single molecule