@article{ref1,
title="Using decision tree algorithms to screen individuals at risk of entry into sexual recidivism",
journal="Journal of criminal justice",
year="2019",
author="Lussier, Patrick and Deslauriers-Varin, Nadine and Collin-Santerre, Justine and Bélanger, Roxane",
volume="63",
number="",
pages="12-24",
abstract="<p> Highlights  • Decision-tree algorithms (DTA) can be used to examine the risk profiles of convicted offenders.  • DTA highlight the importance of the offender's age at assessment as key risk factor.  • DTA findings suggest that risk factors of sexual recidivism vary across age-groups.  • DTA provide comparable predictive value compared to that based on logistic regression. </p> <p>Language: en</p>",
language="en",
issn="0047-2352",
doi="10.1016/j.jcrimjus.2019.05.003",
url="http://dx.doi.org/10.1016/j.jcrimjus.2019.05.003"
}