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

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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

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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