Table 5. Univariate logistic classification models.

Results obtained by three different models, based on acuity difference, stereoacuity and imbalance factor, when differentiating control group from others: amblyogenic factor (anisometropia, strabismus or mixed) and refractive response (accommodative or non-accommodative).

	ROC AUC	Sensitivity	Specificity	PPV	NPV
Control vs Anisometropia
Acuity difference	0.83	1.00	0.67	0.72	1.00
Stereoacuity	0.82	0.86	0.75	0.75	0.86
Imbalance factor	0.59	0.52	0.54	0.50	0.57
Control vs Strabismic
Acuity difference	0.84	1.00	0.68	0.72	1.00
Stereoacuity	0.97	0.90	0.92	0.90	0.92
Imbalance factor	0.83	0.95	0.72	0.74	0.95
Control vs Mixed
Acuity difference	0.88	1.00	0.77	0.75	1.00
Stereoacuity	0.98	0.90	0.97	0.95	0.94
Imbalance factor	0.93	0.86	0.87	0.82	0.90
Control vs Accommodative
Acuity difference	0.81	1.00	0.63	0.78	1.00
Stereoacuity	0.92	0.90	0.81	0.86	0.87
Imbalance factor	0.87	0.86	0.75	0.82	0.80
Control vs Non-accommodative
Acuity difference	0.88	1.00	0.77	0.70	1.00
Stereoacuity	1.00	1.00	1.00	1.00	1.00
Imbalance factor	0.89	0.95	0.85	0.77	0.97

ROC.AUC: Area under the curve; PPV: Positive Predictive Value (PPV); NPV: Negative Predictive Value.