Table 4.

Classification accuracy of different nomogram prediction models.

Model	Threshold	Sensitivity	Specificity	LR+	LR−	AUC
Bilingual subtests
Training set	0.02	0.82	0.82	4.56	0.24	0.91
Validation set	0.18	0.92	0.87	7.03	0.10	0.95
Bilingual subtests with language exposure
Training set	0.18	0.82	0.80	4.16	0.22	0.91
Validation set	0.29	0.92	0.91	10.54	0.09	0.95
Spanish-only subtests with language exposure
Training set	0.19	0.81	0.80	3.97	0.24	0.86
Validation set	0.22	0.80	0.79	3.81	0.26	0.87
English-only subtests with language exposure
Training set	0.07	0.73	0.74	2.79	0.37	0.82
Validation set	0.27	0.74	0.82	4.03	0.32	0.87

Note. LR+ = positive likelihood ratio; LR− = negative likelihood ratio; AUC = area under the receiver operating characteristic curve.