法医学杂志 ›› 2013, Vol. 29 ›› Issue (3): 216-221.DOI: 10.3969/j.issn.1004-5619.2013.03.016

• 综述 • 上一篇    下一篇

暴力风险评估中的统计预测方法及其应用

刘元元1,2,胡峻梅2,3,杨  珉1,4,李晓松1   

  1. (1. 四川大学华西公共卫生学院卫生统计学教研室,四川 成都 610041; 2. 中国政法大学 证据科学教育部重点实验室,北京 100088; 3. 四川大学华西基础医学与法医学院法医精神病学教研室,四川 成都 610041; 4. 英国诺丁汉大学社区健康科学学院精神科,英国 诺丁汉 NG7 2TU)
  • 发布日期:2013-06-25 出版日期:2013-06-28
  • 通讯作者: 李晓松,男,教授,主要从事统计方法与卫生决策、统计方法在传染病流行病学、药物临床试验的应用研究;E-mail:lixiaosong1101@126.com
  • 作者简介:刘元元(1979—),女,四川乐山人,讲师,博士,主要从事风险评估与决策、分类预测及时间序列预测等研究;E-mail:y_multi@126.com
  • 基金资助:

    国家自然科学基金资助项目(81072513);证据科学教育部重点实验室开放基金资助项目(2011KFKT02)

Statistical Prediction Methods in Violence Risk Assessment and Its Application

LIU YUAN-YUAN1,2, HU JUN-MEI2,3, YANG MIN1,4, LI XIAO-SONG1   

  1. (1. Department of Health Statistics, School of Public Health, Sichuan University, Chengdu 610041, China; 2. Key Laboratory of Evidence Science, China University of Political Science and Law, Ministry of Education, Beijing 100088, China; 3. Department of Forensic Psychiatry, School of Basic and Forensic Medicine, Sichuan University, Chengdu 610041, China; 4. Division of Psychiatry, School of Community Health Sciences, the University of Nottingham, Nottingham NG7 2TU, UK)
  • Online:2013-06-25 Published:2013-06-28

摘要: 如何改进暴力风险评估是一个亟待解决的全球性难题,通过统计学方法进行犯罪的暴力风险评估是其中不可或缺的一环,作用十分重要。本文主要从统计学角度对暴力风险评估预测方法进行了回顾,并对其中较为常用的多元统计模型代表的Logistic回归模型、数据挖掘技术代表的决策树模型以及人工智能技术代表的神经网络模型及其应用进行综述,以期为暴力风险评估的进一步研究提供参考。

关键词: 统计学, 暴力, 综述[文献类型], 危险性评估

Abstract: It is an urgent global problem how to improve the violence risk assessment. As a necessary part of risk assessment, statistical methods have remarkable impacts and effects. In this study, the predicted methods in violence risk assessment from the point of statistics are reviewed. The application of Logistic regression as the sample of multivariate statistical model, decision tree model as the sample of data mining technique, and neural networks model as the sample of artificial intelligence technology are all reviewed. This study provides data in order to contribute the further research of violence risk assessment.

Key words: statistics, violence, review [publication type], risk assessment

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