Comprehensive Psychiatry
Volume 46, Issue 4 , Pages 296-303 , July 2005

A comparison of statistical models in predicting violence in psychotic illness

  • Stuart Thomas

      Affiliations

    • Health Services Research Department, Institute of Psychiatry, De Crespigny Park, London SE5 8AF, UK
    • Corresponding Author InformationCorresponding author. Department of Forensic Mental Health Science, Institute of Psychiatry, De Crespigny Park, London SE5 8AF, UK. Tel.: +44 20 7848 0711; fax: +44 20 7848 0754.
  • ,
  • Morven Leese

      Affiliations

    • Health Services Research Department, Institute of Psychiatry, De Crespigny Park, London SE5 8AF, UK
  • ,
  • Elizabeth Walsh

      Affiliations

    • Section of Forensic Mental Health, Department of Psychological Medicine, Institute of Psychiatry, De Crespigny Park, London SE5 8AF, UK
  • ,
  • Paul McCrone

      Affiliations

    • Centre for the Economics of Mental Health, Health Services Research Department, Institute of Psychiatry, De Crespigny Park, London SE5 8AF, UK
  • ,
  • Paul Moran

      Affiliations

    • Section of Primary Care, Health Services Research Department, Institute of Psychiatry, De Crespigny Park, London SE5 8AF, UK
  • ,
  • Tom Burns

      Affiliations

    • Department of Psychiatry, St George's Hospital Medical School, London SW17 0RE, UK
  • ,
  • Francis Creed

      Affiliations

    • University Department of Psychiatry, Manchester Royal Infirmary, Manchester M13 9WL, UK
  • ,
  • Peter Tyrer

      Affiliations

    • Academic Unit of Psychiatry, St Mary's Hospital Medical School, St Charles Hospital, London W10 6DZ, UK
  • ,
  • Thomas Fahy

      Affiliations

    • Section of Forensic Mental Health, Department of Psychological Medicine, Institute of Psychiatry, De Crespigny Park, London SE5 8AF, UK

Received 12 March 2004 ,Revised 8 October 2004

References 

  1. Mossman D. Assessing predictions of violence: being accurate about accuracy. J. Consult. Clin. Psychol. 1994;62:783–792
  2. Rabinowitz J, Garelik-Wyler R. Accuracy and confidence in clinical assessment of psychiatric inpatients risk of violence. Int. J. Law Psychiatry. 1999;22(1):99–106
  3. Bacon P. Assessing risk: are we being overcautious?. Br. J. Psychiatry. 1997;170(Suppl 32):30–31
  4. Brieman L, Friedman J, Olshen R, Stone C. Classification and regression trees. Belmont (CA): Wadsworth; 1984;
  5. Everitt B, Rabe-Hesketh S. Analysing medical data using S-PLUS. New York: Springer-Verlag; 2001;
  6. Schmitz N, Kugler J, Rollnik J. On the relation between neuroticism, self-esteem, and depression: results from the National Comorbidity Survey. Compr. Psychiatry. 2003;44:169–176
  7. Gigerenzer G, Todd P the ABC Research Group. Simple heuristics that makes us smart. New York: Oxford University Press; 1999;
  8. Steadman HJ, Silver E, Monahan JK, Appelbaum PS, Clark Robbins P, Mulvey EP, et al. A classification tree approach to the development of actuarial violence risk assessment tools. Law Hum. Behav. 2000;24(1):83–100
  9. Monahan J, Steadman HJ, Silver E, Appelbaum PS, Clark Robbins P, Mulvey EP, et al. Rethinking risk assessment. The MacArthur study of mental disorder and violence. Oxford: Oxford University Press; 2001;
  10. Thomas S, Leese M. A green-fingered approach can improve the clinical utility of violence risk assessment tools. Crim. Behav. Ment. Health. 2003;13:153–158
  11. Dolan M, Doyle M. Violence risk prediction. Clinical and actuarial measures and the role of the Psychopathy Checklist. Br. J. Psychiatry. 2000;177:303–311
  12. Burns T, Creed F, Fahy T, Thompson S, Tyrer P, White I. Intensive versus standard case management for severe psychotic illness: a randomised trial. Lancet. 1999;353:2185–2189
  13. UK700 Group. Predictors of quality of life in people with severe mental illness. Study methodology with baseline analysis in the UK700 trial. Br. J. Psychiatry. 1999;175:426–432
  14. Walsh E, Gilvarry C, Samele C, Harvey K, Manley C, Tyrer P, et al. Reducing violence in severe mental illness: randomised controlled trial of intensive case management compared with standard care. BMJ. 2001;323:1–5
  15. Silver E, Smith WR, Banks S. Constructing actuarial devices for predicting recidivism. Crim. Justice Behav. 2000;27:733–764
  16. Rice ME, Harris GT. Violent recidivism: assessing predictive validity. J. Consult. Clin. Psychol. 1995;63:737–748
  17. Altman DG. Practical statistics for medical research. London: Chapman and Hall; 1995;
  18. Hasselblad V, Hedges L. Meta-analysis of screening and diagnostic tests. Psychol. Bull. 1995;117:167–178
  19. Efron B, Tibshirani RJ. An introduction to the bootstrap. Washington: Chapman and Hall; 1993;
  20. Stata Corporation. Stata version 7.0. Texas: Stata Corporation; 2001;
  21. S-PLUS. Version 6.1. Geneva: Insightful Corp, Lucent Technologies, Inc; 2002;
  22. WHO. The ICD-10 classification of mental and behavioural disorders. Clinical descriptions and diagnostic guidelines. Geneva: World Health Organization; 1992;
  23. Moran P, Walsh E, Tyrer P, Burns T, Creed F, Fahy T. Impact of comorbid personality disorder on violence in psychosis. Report from the UK700 trial. Br. J. Psychiatry. 2003;182:129–134
  24. Link BG, Stueve A. Psychotic symptoms and violent behaviours: probing the components of “threat/control-override” symptoms. Soc. Psychiatry Psychiatr. Epidemiol. 1998;33:55–59
  25. Gardner W, Lidz C, Mulvey E. A comparison of actuarial methods for identifying repetitively violent patients. Law Hum. Behav. 1996;20:35–48
  26. Ferri-Ramírez C, Hernández-Orallo J, Ramírez-Quintana MJ. SMILES, a multi-purpose learning system. Technical Report; 2002.
  27. Silver E, Chow-Martin LA. Multiple models approach to assessing recidivism risk: implications for judicial decision making. Crim. Justice Behav. 2002;29:538–568

PII: S0010-440X(04)00156-7

doi: 10.1016/j.comppsych.2004.10.001

Comprehensive Psychiatry
Volume 46, Issue 4 , Pages 296-303 , July 2005