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精算风险评估工具的准确性:评估群体与个体暴力预测的“误差幅度”。

Precision of actuarial risk assessment instruments: evaluating the 'margins of error' of group v. individual predictions of violence.

作者信息

Hart Stephen D, Michie Christine, Cooke David J

机构信息

Department of Psychology, Simon Fraser University, 8888 University Drive, Burnaby, British Columbia, Canada V5A 1S6.

出版信息

Br J Psychiatry Suppl. 2007 May;49:s60-5. doi: 10.1192/bjp.190.5.s60.

Abstract

BACKGROUND

Actuarial risk assessment instruments (ARAIs) estimate the probability that individuals will engage in future violence.

AIMS

To evaluate the ;margins of error' at the group and individual level for risk estimates made using ARAIs.

METHOD

An established statistical method was used to construct 95% CI for group and individual risk estimates made using two popular ARAIs.

RESULTS

The 95% CI were large for risk estimates at the group level; at the individual level, they were so high as to render risk estimates virtually meaningless.

CONCLUSIONS

The ARAIs cannot be used to estimate an individual's risk for future violence with any reasonable degree of certainty and should be used with great caution or not at all. In theory, reasonably precise group estimates could be made using ARAIs if developers used very large construction samples and if the tests included few score categories with extreme risk estimates.

摘要

背景

精算风险评估工具(ARAIs)可估计个体未来实施暴力行为的概率。

目的

评估使用ARAIs进行风险估计时在群体和个体层面的“误差幅度”。

方法

采用一种既定的统计方法为使用两种常用ARAIs进行的群体和个体风险估计构建95%置信区间。

结果

群体层面风险估计的95%置信区间很大;在个体层面,它们高到使风险估计几乎毫无意义。

结论

ARAIs无法以任何合理的确定性程度用于估计个体未来实施暴力行为的风险,应极其谨慎地使用或根本不使用。理论上,如果开发者使用非常大的构建样本且测试包含很少具有极端风险估计的分数类别,那么使用ARAIs可以做出合理精确的群体估计。

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