Early Detection of High-Risk Claims at the Workers' Compensation Board of British Columbia

References

  • Fattedad S., Charron M. Claims inventory control at the Workers' Compensation Board of British Columbia. (1999) . Unpublished study, British Columbia, CanadaGoogle Scholar
  • Head G. L., Head G. L. Rehabilitation management. Essentials of Risk Control (1995) 13rd ed.(Insurance Institute of America, Malvern, PA) 280–282Google Scholar
  • Hosmer D. W., Lemeshow S.Applied Logistic Regression (1989) (John Wiley and Sons, New York) Google Scholar
  • Jessup B., Gallie K. Profiling high-risk claims at the Workers' Compensation Board of British Columbia. (1996) . Unpublished study, British Columbia, CanadaGoogle Scholar
  • Johnson D. E.Applied Multivariate Methods for Data Analysis (1998) (Duxbury Press, Pacific Grove, CA) Google Scholar
  • Lemeshow S., Teres D., Avrunin J. S., Pastides H. Predicting the outcome of intensive care unit patients. J. Amer. Statist. Association (1988) 83(402):348–356CrossrefGoogle Scholar
  • McCullagh P., Nelder J. A.Generalized Linear Models (1989) 2nd ed.(Chapman and Hall, London, U.K) CrossrefGoogle Scholar
  • Neter J., Kutner M. H., Nachtsheim C. J., Wasserman W.Applied Linear Statistical Models (1996) 4th ed.(Richard D. Irwin, Chicago, IL) Google Scholar
  • Ryan T. P.Modern Regression Methods (1996) (Wiley-Interscience, New York) Google Scholar
  • Thompson C. M. Characteristics associated with outcome in a community mental health partial hospitalization program. Community Mental Health J. (1985) 21(2):179–188CrossrefGoogle Scholar
  • Wiginton J. C. A note on the comparison of logit and discriminant models of consumer credit behavior. J. Financial Quant. Anal. (1980) 15(3):757–770CrossrefGoogle Scholar
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