The efficacy of violence prediction: a meta-analytic comparison of nine risk assessment tools.

By Min Yang, Stephen C. P. Wong, Jeremy Coid. 2010

701 citations recorded by the source corpus.

Subfields: Clinical Psychology, Sociology and Political Science, Statistics and Probability, Social Sciences & Humanities

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Citations in the corpus

Interpretable classification models for recidivism prediction (2015, background): “We agree with the commentary of Yang et al. (2010) who noted that for many problems, many prediction methods perform approximately the same, and in that case, one should use another measure to gauge how useful a model is.”
A Comparison of Risk Assessment Instruments in Juvenile Justice (2013, methodology): “For example, in a meta-analysis of 28 separate studies, Yang, Wong, and Coid (2010) found that the predictive efficiencies of nine validated risk assessment 39 See Campbell, French, & Gendreau (2009); Kroner, Mills, & Reddon (2005); and Yang, Wong, & Coid (2010).”
Protective Factors in Forensic Mental Health: A New Frontier (2011, positive): “There are now also a handful of meta-analyses (Campbell, French, & Gendreau, 2009 ; Guy, 2008 ; Singh, Grann, & Fazel, 2011 ; Yang, Wong, & Coid, 2010 ) demonstrating that available structured tools are largely interchangeable with respect to predictive validity; the implication being that clini”
Sources of Variability in Estimates of Predictive Validity (2011, methodology): “We note that other risk scales developed in Canada also do well in Canada (e.g., Harris et al., 2009; Olver et al., 2009; Yang et al., 2010).”
A Commentary on Statistical Assessment of Violence Recidivism Risk (2015, background): “…estimates of a probability of violent behavior that are analogous, in their development and interpretation, to predicted probabilities by which insurers “rate” clients and price policies for losses from automotive accident, theft, extreme weather, disease, or death (Yang, Wong, and Coid 2010).”
Dynamic risk and protective factors (2016, background): “As noted by Yang et al. (2010), a second key feature that should emerge from a set of theoretically dynamic risk variables is the ability to identify precipitants of offender outcome; this represents a different task compared to assessing whether risk scores change over time due to intervention.”
Risk Assessment in Criminal Sentencing. (2016, background): “71 (Yang et al. 2010), suggesting a 65% to 71% chance that a randomly selected recidivist obtained a higher score on the instrument than a randomly selected nonrecidivist.”
The predictive validity of risk assessment tools for female offenders: A systematic review (2015, positive): “The meta-analysis by Yang, Wong, and Coid (2010) evaluated the efficacy of nine risk assessment tools and included female offenders within the analyses.”