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

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dc.contributor.authorTadei , Allessandro ; Pensar , Johan ; Corander , Jukka ; Finnilä , Katrina ; Santtila , Pekka ; Antfolk , Jan
dc.date.accessioned2019-04-24T17:11:36Z
dc.date.available2019-04-24T17:11:36Z
dc.date.issued2017
dc.description.abstractIn 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 as a starting point in the following investigation. Studying 903 demographic and socio-economic variables from over 11,000 Finnish children, we identified 42 features related to CSA. Using Bayesian logic to calculate the probability of abuse, our instrument - the Finnish Investigative Instrument of Child Sexual Abuse (FICSA) - has two separate profiles for boys and girls. A cross-validation procedure suggested excellent diagnostic utility (AUC = .97 for boys and AUC = .88 for girls). We conclude that the presented method can be useful in forensic assessments of CSA allegations by adding a reliable statistical approach to considering background information, and to support clinical decision making and guide investigative efforts. (Author Abstract)en_US
dc.identifier.citationTadei , Allessandro ; Pensar , Johan ; Corander , Jukka ; Finnilä , Katrina ; Santtila , Pekka ; Antfolk , Jan. (2017). A Bayesian Decision-Support Tool for Child Sexual Abuse Assessment and Investigation. Sexual Abuse [at press]en_US
dc.identifier.urihttps://helda.helsinki.fi/bitstream/handle/10138/240786/A_Bayesian_Decision_Support_Tool_for_CSA_Assessment_and_Investigation.pdf?sequence=1
dc.identifier.urihttp://hdl.handle.net/11212/4308
dc.language.isoenen_US
dc.publisherSexual abuse: A journal of research and treatmenten_US
dc.subjectchild abuseen_US
dc.subjectresearchen_US
dc.subjectrisk factorsen_US
dc.subjectstatistical analysisen_US
dc.subjectdecision analysisen_US
dc.subjecttoolsen_US
dc.subjectmethodsen_US
dc.subjectInternational Resourcesen_US
dc.subjectFinlanden_US
dc.titleA Bayesian Decision-Support Tool for Child Sexual Abuse Assessment and Investigationen_US
dc.typeArticleen_US

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