Table 6.

Testing parameter sets sorted based on the Wald statistic, and sensitivity (specificity) and AUC (95% confidence interval: CI) from ROC curves of the logistic regression models with ACOF-RCOF as the predictor (including beta values). Sensitivity and specificity were taken from the point of the ROC curve where the line most deviated from a line with slope of 1. Odds ratio (95% confidence interval: CI) were calculated for 0.01 increase in ACOF-RCOF.

Testing parameter set	Intercept β0	ACOF-RCOF β1	Wald	p-value (Wald)	AUC (CI)	Sensitivity (Specificity)	Odds ratio (CI)
250 N, 17°, 0.5 m/s	−4.76	−35.46	20.40	<0.001	0.815 (0.726–0.880)	66.7 (84.8)	0.70 (0.60–0.82)
250 N, 17°, 0.3 m/s	−3.74	−30.12	19.59	<0.001	0.806 (0.713–0.875)	66.7 (86.1)	0.74 (0.65–0.85)
250 N, 7°, 0.5 m/s	−3.34	−28.43	18.40	<0.001	0.804 (0.707–0.874)	62.2 (92.4)	0.75 (0.66–0.86)
400 N, 17°, 0.5 m/s	−3.88	−29.29	18.05	<0.001	0.797 (0.700–0.868)	73.3 (77.2)	0.75 (0.65–0.85)
400 N, 7°, 0.5 m/s	−2.88	−24.44	17.48	<0.001	0.791 (0.693–0.864)	57.8 (92.4)	0.78 (0.70–0.88)
400 N, 17°, 0.3 m/s	−2.93	−22.78	16.31	<0.001	0.787 (0.685–0.863)	73.3 (79.8)	0.80 (0.71–0.89)
400 N, 7°, 0.3 m/s	−2.20	−18.88	15.86	<0.001	0.774 (0.674–0.850)	57.8 (88.6)	0.83 (0.75–0.91)
250 N, 7°, 0.3 m/s	−2.24	−20.43	14.54	<0.001	0.776 (0.670–0.855)	55.6 (96.2)	0.82 (0.73–0.91)