Table 3.

Measures of model fit, discrimination and calibration for various cardiovascular event models with and without carotid-femoral (aortic) pulse wave velocity.

	Model Fit			Discrimination	Calibration
Model	−2 Log Likelihood	Akaike Information Criterion	Schwartz’s Bayesian Information Criterion	C Statistic (95% CI)	χ2	P
Age, sex	2155	2159	2165	0.762 (0.723, 0.801)	8.7	0.46
Add pulse wave velocity	2136	2142	2151	0.782 (0.746, 0.818)*	2.9	0.97
Age, sex, total cholesterol, HDL cholesterol, systolic pressure, smoking, diabetes and hypertension treatment	2126	2142	2166	0.796 (0.764, 0.828)	4.3	0.89
Add pulse wave velocity	2116	2134	2162	0.800 (0.768, 0.832)**	2.6	0.98

For a description of the tests displayed in the table, please see statistical methods section.

^*Comparison of c statistics in rows 1 and 2, P=0.006.

^**Comparison of c statistics in rows 3 and 4, P=0.3.