Table 1.

A)Comparison of coefficients for the full logistic regression model with coefficients from the penalized model. The model is over parameterized; parameters for time since onset (sec)= −2, 0 and 2 cannot be computed with precision. B) 2×2 classification table for the cross validated penalized model

A)
		Full Model (logit)			Penalized Model
ID	Coefficient	Estimate	Std. Error	Pr(>|z|)	Estimate
0	Intercept	2.917	0.937	0.002	1.487
1	Age	−0.216	0.069	0.002	−0.104
2	Start	1.102	0.509	0.030	0.443
3	−2.00	24100	56430	0.669	0.000
4	0 (Presentation)	24100	56430	0.669	0.000
5	2.00	24100	56430	0.669	0.000
6	4.00	5.327	1.358	0.000	1.591
7	6.00	−4.998	1.393	0.000	−2.270
8	8.00	−1.729	1.008	0.086	−0.226
9	10.00	2.345	0.916	0.010	0.362
10	12.00	0.012	0.979	0.991	0.000
11	14.00	0.586	0.726	0.419	0.474
12	16.00	0.301	0.536	0.574	0.122

B)
		Actual
		ASD	TD	Total
Prediction	ASD	14	10	24
	TD	8	28	36
	Total	22	38	60
	Sensitivity	63.64%	Specificity	73.68%