Managing uncertainty in the clinical prediction of risk of harm: Bringing a Bayesian approach to forensic mental health
dc.contributor.author | Duggan, Conor | |
dc.date.accessioned | 2017-09-20T16:06:18Z | |
dc.date.available | 2017-09-20T16:06:18Z | |
dc.date.issued | 2017 | |
dc.identifier.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. | |
dc.identifier.other | 10.1002/cbm.2031 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12904/14284 | |
dc.description.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. | |
dc.description.uri | http://onlinelibrary.wiley.com/doi/10.1002/cbm.2031/abstract;jsessionid=BB9E6E40DBFE9BE5134A3BAAD5E6E4D1.f03t01 | |
dc.subject | Criminals | |
dc.subject | Mental disorders | |
dc.title | Managing uncertainty in the clinical prediction of risk of harm: Bringing a Bayesian approach to forensic mental health | |
dc.type | Article | |
html.description.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. |