Managing uncertainty in the clinical prediction of risk of harm: Bringing a Bayesian approach to forensic mental health
Duggan, Conor
Duggan, Conor
Abstract
Predicting the likelihood of harm posed by mentally disordered offenders remains controversial. It is proposed that a Bayesian approach may help quantify the uncertainty surrounding such prediction. An example of this approach quantifying the risk of breast cancer in the event of a positive mammogram is provided. Copyright (c) 2017 John Wiley & Sons, Ltd.
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Date
2017
Type
Article
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Citation
Duggan, C. & Jones, R. (2017). Managing uncertainty in the clinical prediction of risk of harm: Bringing a Bayesian approach to forensic mental health. Criminal Behaviour and Mental Health, 27 (1), pp.1-7.