A Commentary on Statistical Assessment of Violence Recidivism Risk

Statistics and Public Policy

Volumn 2, Issue 1, 2015, Pages 1-18

  Imrey, Peter B ^a   Dawid, A Philip ^b  

^a CLEVELAND CLINIC LERNER COLLEGE OF MEDICINE   (United States)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Actuarial risk assessment; Dangerousness; Evidence law; Forensic psychology; Prediction models; Risk intervals; Sentencing policy

Indexed keywords

EID: 85077712195     PISSN: None     EISSN: 2330443X     Source Type: Journal    
DOI: 10.1080/2330443X.2015.1029338     Document Type: Article

References (50)

1. Appelbaum, P., (2011), “Reference Guide on Mental Health Evidence,” in Reference Manual on Scientific Evidence (3rd ed.), Committee on the Development of the Third Edition of the Reference Manual on Scientific Evidence, (eds.) Washington, DC: National Academies Press,. chapter 15, pp. 815–896.
2. Boer, D. P., Hart, S. D., Kropp, P. R., and Webster, C. D., (1997), Manual for the Sexual Violence Risk 20: Professional Guidelines for Assessing Risk of Sexual Violence, British Columbia Institute on Family Violence and Mental Health, Law, and Policy Institute, Simon Fraser University, Vancouver.
3. Cooke, D. J., and Michie, C., (2009), Erratum, Law and Human Behavior, 33, 541, DOI: 10.1007/s10979-009-9176-x.
4. Cooke, D. J., and Michie, C., (2010), Limitations of Diagnostic Precision and Predictive Utility in the Individual Case: A Challenge for Forensic Practice, Law and Human Behavior, 34, 269–274.
5. Cooke, D. J., and Michie, C., (2011), “Violence Risk Assessment: Challenging the Illusion of Uncertainty,” in Dangerous People: Policy, Prediction, and Practice, eds. B., McSherry, P., Keyzer, New York: Routledge, chapter 12, pp. 147–161.
6. Cooke, D. J., and Michie, C., (2012), “Violence Risk Assessment: From Prediction to Understanding or From What? to Why?” in Managing Clinical Risk: A Guide to Effective Practice, eds. C., Logan, and L., Johnstone, New York: Routledge, chapter 1, pp. 3–26.
7. Coyle, I.R., (2011), The Cogency of Risk Assessments, Psychiatry, Psychology and Law, 18, 270–296.
8. Dawid, A.P., (2015), On Individual Risk,” in review, Synthèse. Available at arXiv, http://arxiv.org/abs/1406.5540.
9. Donaldson, T.,and Wollert, R., (2008), “A Mathematical Proof and Example That Bayes’s Theorem is Fundamental to Actuarial Estimates of Sexual Recidivism Risk, Sex Abuse, 20, 206–17.
10. Fazel, S., Singh, S.P., Doll, H., Grann, M., (2012), Use of Risk Assessment Instruments to Predict Violence and Antisocial Behaviour in 73 Samples Involving 24 827 People: Systematic Review and Meta-Analysis, British Medical Journal, 345, e4692.
11. Fisher, R.A., (1925), Statistical Methods for Research Workers, Edinburgh: Oliver and Boyd.
12. Fitzmaurice, G., Davidian, M., Verbeke, G., and Molenberghs, G., (2008), Longitudinal Data Analysis, New York: CRC Press.
13. Grove, W.M., (2005), Clinical Versus Statistical Prediction: The Contribution of Paul E. Meehl, Journal of Clinical Psychology, 61, 1233–1243.
14. Grove, W.M., Zald, D.H., Lebow, B.S., Snitz, B.E., Nelson, C., (2000), Clinical Versus Mechanical Prediction: A Meta-Analysis, Psychological Assessment, 12, 19–30.
15. Hanson, K.R., Howard, P.D., (2010), Individual Confidence Intervals Do Not Inform Decision-Makers About the Accuracy of Risk Assessment Evaluations, Law and Human Behavior, 34, 275–281.
16. Hanson, R.K., and Thornton, D.M., (1999), Static 99: Improving Actuarial Risk Assessments for Sex Offenders, Ottawa: Solicitor General of Canada.
17. Hare, R. D., (2003), The Hare Psychopathy Checklist—Revised (2nd ed.), Toronto: Multi-Health Systems.
18. Harrell, F.E., (2001), Regression Modeling Strategies, With Applications to Linear Models, Logistic Regression, and Survival Analysis, New York: Springer-Verlag.
19. Harrell, F.E., Lee, K.L., Mark, D.B., (1996), Multivariable Prognostic Models: Issues in Developing Models, Evaluating Assumptions and Adequacy, and Measuring and Reducing Errors, Statistics in Medicine, 15, 361–387.
20. Harris, G.T., Lowenkamp, C.T., Hilton, N.Z., (2015), Evidence for Risk Estimate Precision: Implications for Individual Risk Communication, Behavioral Sciences and the Law, 33, 111–27.
21. Harris, G.T., Rice, M.E., (2013), Bayes and Base Rates: What is an Informative Prior for Actuarial Violence Risk Assessment? Behavioral Sciences and the Law, 31, 103–124.
22. Harris, G. T., Rice, M. E., and Quinsey, V. L., (2008), Shall Evidence-Based Risk Assessment be Abandoned? British Journal of Psychiatry, 192, 154.
23. Hart, S.D., Cooke, D.J., (2013), Another Look at the (Im-)Precision of Individual Risk Estimates Made Using Actuarial Risk Assessment Instruments, Behavioral Sciences and the Law, 31, 81–102.
24. Hart, S.D., Michie, C., Cooke, D.J., (2007a), Precision of Actuarial Risk Assessment Instruments. Evaluating the ‘Margins of Error’ of Group v. Individual Predictions of Violence, British Journal of Psychiatry, 190, s60–s65.
25. Hart, S.D., Michie, C., Cooke, D.J., (2007b), Reply to “Avoiding Errors about ‘Margins of Error,’” by Mossman and Sellke, British Journal of Psychiatry, 191, 561–562.
26. Hart, S.D., Michie, C., Cooke, D.J., (2008), Reply to “Shall Evidence-Based Risk Assessment be Abandoned?” by Harris, Rice, and Quinsey, British Journal of Psychiatry, 192, 154.
27. Henderson, R., Keiding, N., (2005), Individual Survival Time Prediction Using Statistical Models, Journal of Medical Ethics, 31, 703–706.
28. Hosmer, D. W., and Lemeshow, S., (2000), Sections 1.4 (pps. 17-21) and 3.1-3.4 (pps. 47-64), in Applied Logistic Regression, New York: Wiley.
29. Kahneman, D., (2011), “Part III. Overconfidence,” in Thinking, Fast and Slow, Farrar, Straus, and Girtoux, New York.
30. Meehl, P., (1954), Clinical vs. Statistical Prediction: A Theoretical Analysis and a Review of the Evidence, Minneapolis: University of Minnesota Press.
31. Molenberghs, G., and Verbeke, G., (2005), Models for Discrete Longitudinal Data. New York: Springer-Verlag.
32. Mossman, D., (2015), From Group Data to Useful Probabilities: The Relevance of Actuarial Risk Assessment in Individual Instances Journal of the American Academy of Psychiatry and the Law, 43, 93–102.
33. Mossman, D., and Sellke, T., (2007), Letter to the Editor: “Avoiding Errors About ‘Margins of Error’,” British Journal of Psychiatry, 191, 561.
34. Mulvey, E.P., Odgers, C.L., Skeem, J., Gardner, W., Schubert, C., Lidz, C.W., (2006), Substance Use and Community Violence: A Test of the Relation at the Daily Level, Journal of Consulting and Clinical Psychology, 74, 743–754.
35. Odgers, C.L., Mulvey, E.P., Skeem, J., Gardner, W., Lidz, C.W., Schubert, C., (2009), Capturing the Ebb and Flow of Psychiatric Symptoms With Dynamical Systems Models, American Journal of Psychiatry, 166, 575–582.
36. Pepe, M., (2004), The Statistical Evaluation of Medical Tests for Classification and Prediction, Oxford: Oxford University Press.
37. Quinsey, V.L., Harris, G.T., Rice, M.E., and Cormier, C.A., (2006), Violent Offenders: Appraising and Managing Risk (2nd ed.), Washington, DC: American Psychological Association.
38. Scurich, N., John, R.S., (2012), A Bayesian Approach to the Group Versus Individual Prediction Controversy in Actuarial Risk Assessment, Law and Human Behavior, 36, 237–246.
39. Singh, J. P., Grann, M., and Fazel, S., (2013), Authorship Bias in Violence Risk Assessment? A Systematic Review and Meta-Analysis PLoS One, 8, e72484.
40. Skeem, J.L., Monahan, J., (2011), Current Directions in Violence Risk Assessment, Current Directions in Psychological Science, 20, 38–42.
41. Slobogin, C., (2012), “Risk Assessment,” in The Oxford Handbook of Sentencing and Corrections, eds. J., Petersilia, and J. R., Reitz, New York: Oxford University Press, chapter 8, pp. 196–214.
42. Starr, S., (2014), Evidence-Based Sentencing and the Scientific Rationalization of Discrimination Stanford Law Review, 66,803–872
43. Steyerberg, E.W., (2009a), Clinical Prediction Models. A Practical Approach to Development, Validation, and Updating, New York: Springer-Verlag.
44. Steyerberg, E.W., (2009b), “Prediction Rules and Modeling,” in Encyclopedia of Medical Decision Making (vol. 2), ed. M. W., Kattan, Thousand Oaks, CA: Sage, pp. 893–897.
45. (1908), The Probable Error of a Mean, Biometrika, 6, 1–25.
46. Thornton, D. S., (2007), Scoring Guide For Risk Matrix 2000.9/SVC. Unpublished document, available at http://www.birmingham.ac.uk/Documents/college-les/psych/RM2000scoringinstructions.pdf, accessed April 26, 2015.
47. Vonesh, E.F., (2012), Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS, New York: Springer-Verlag.
48. Wilson, E.B., (1927), Probable Inference, the Law of Succession, and Statistical Inference, Journal of the American Statistical Association, 22, 209–212.
49. Yang, M., Wong, S. C.P., Coid, J., (2010), The Efficacy of Violence Prediction: A Meta-Analytic Comparison of Nine Risk Assessment Tools, Psychological Bulletin, 136, 740–767.
50. Zhou, X.H., Obuchowski, N.A., and McClish, D.K., (2011), Statistical Methods in Diagnostic Medicine (2nd ed.), Hoboken, NJ: Wiley.