@article{ref1,
title="A multiple models approach to assessing recidivism risk: implications for judicial decision making",
journal="Criminal justice and behavior",
year="2002",
author="Silver, Eric and Chow-Martin, Lynette",
volume="29",
number="5",
pages="538-568",
abstract="This study used a large recidivism data set to develop and validate a multiple models tool for predicting recidivism risk. Consistent with prior research, the authors found that the multiple models tool was more accurate than tools built using the traditional single-model approach. In addition, they demonstrated that the predicted recidivism rates produced by the multiple models tool could be summarized in a usable format consisting of four to five statistically distinct risk classes offering an impressive degree of base-rate dispersion. Given that public protection ranks as a primary focal concern of judges, the authors believe that their results justify renewed attention to the potential uses of actuarial tools within the context of judicial decision making.<p /><p>Language: en</p>",
language="en",
issn="0093-8548",
doi="10.1177/009385402236732",
url="http://dx.doi.org/10.1177/009385402236732"
}