Table A.3.

Logistic regression models predicting at-risk and safe drivers with different numbers of participants in each model.

	Coefficients				R2	Hosmer-Lemeshow			AUC	95% CI	Best Threshold		Sample Size
	Estimate	SE	z-value	p-value		χ2	df	p-value			Specificity	Sensitivity	Safe	At-Risk
Clinical Model					0.23	5.05	8	0.75	0.74	0.57 - 0.90	0.81	0.63	27	16
Intercept	4.94	6.57	0.75	0.45
Visual Acuity	−0.05	0.05	−0.87	0.38
MMSE	−0.23	0.21	−1.09	0.28
Trail Making Task Part A	0.03	0.04	0.66	0.51
Trail Making Task Part B	0.01	0.01	0.79	0.43
MoCA Model					0.37	10.59	8	0.23	0.76	0.58 - 0.95	0.91	0.71	23	14
Intercept	7.73	5.90	1.31	0.19
Visual Acuity	−0.10	0.07	−1.47	0.14
MoCA	−0.32	0.18	−1.72	0.09
Trail Making Task Part A	0.04	0.05	0.89	0.37
Trail Making Task Part B	0.00	0.01	0.14	0.89
MOT Model					0.23	3.73	8	0.88	0.73	0.56 - 0.89	0.74	0.75	27	16
Intercept	4.37	6.78	0.65	0.52
Visual Acuity	−0.05	0.05	−0.89	0.38
MMSE	−0.22	0.21	−1.06	0.29
Trail Making Task Part A	0.02	0.04	0.62	0.54
Trail Making Task Part B	0.01	0.01	0.84	0.40
MOT	0.02	0.08	0.32	0.75
Improved Model					0.56	10.86	8	0.21	0.89	0.75 - 1.02	0.91	0.79	28	11
Intercept	20.24	12.82	1.58	0.11
Visual Acuity	−0.09	0.08	−1.12	0.26
Contrast Sensitivity	−8.75	4.84	−1.81	0.07
MMSE	−0.29	0.29	−0.98	0.33
UFOV Subtest 2	0.02	0.01	2.28	0.02