A Bayesian Decision-Support Tool for Child Sexual Abuse Assessment and Investigation

In assessments of child sexual abuse (CSA) allegations, informative background information is often overlooked or not used properly. We therefore created and tested an instrument that uses accessible background information to calculate the probability of a child being a CSA victim that can be used a...

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Veröffentlicht in:	Sexual abuse 2019-06, Vol.31 (4), p.374-396
Hauptverfasser:	Tadei, Alessandro, Pensar, Johan, Corander, Jukka, Finnilä, Katarina, Santtila, Pekka, Antfolk, Jan
Format:	Artikel
Sprache:	eng
Schlagworte:	Adolescent Allegations Bayes Theorem Bayesian analysis Boys Child Child Abuse, Sexual - diagnosis Child sexual abuse Children Decision making Decision support systems Decision Support Techniques Evaluation Finland Girls Humans Pedophilia Probability Sex crimes Sociodemographics
Online-Zugang:	Volltext
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