Last Updated: 2011-10-24
The probability that predicting the outcome is better than chance. Used to compare the goodness of fit of logistic regression models, values for this measure range from 0.5 to 1.0. A value of 0.5 indicates that the model is no better than chance at making a prediction of membership in a group and a value of 1.0 indicates that the model perfectly identifies those within a group and those not. Models are typically considered reasonable when the C-statistic is higher than 0.7 and strong when C exceeds 0.8 (Hosmer & Lemeshow, 2000; Hosmer & Lemeshow, 1989).
- Hosmer DW, Lemeshow S. Applied Logistic Regression. New York, NY: John Wiley & Sons; 1989.(View)
- Hosmer DW, Lemeshow S. Applied Logistic Regression (2nd Edition). New York, NY: John Wiley & Sons; 2000.(View)
- Fransoo R, Martens P, Prior H, Chateau D, McDougall C, Schultz J, McGowan K, Soodeen R, Bailly A. Adult Obesity in Manitoba: Prevalence, Associations, and Outcomes. Winnipeg, MB: Manitoba Centre for Health Policy, 2011. [Report] [Summary] (View)
- Fransoo R, Martens P, The Need to Know Team, Prior H, Burchill C, Koseva I, Bailly A, Allegro E. The 2013 RHA Indicators Atlas. Winnipeg, MB: Manitoba Centre for Health Policy, 2013. [Report] [Summary] [Additional Materials] (View)
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