Predicting Adolescent Idiopathic Scoliosis among Chinese Children and Adolescents

Table 3

Comparison of prediction effects of different logistic regression models.

Indicator	Model 1^a	Model 2^b	Model 3^c	Model 4^d
Se	82.55%	83.27%	83.27%	83.27%
Sp	82.59%	82.59%	83.33%	82.59%
YI	0.65	0.66	0.67	0.66
PPV	82.85%	82.97%	83.58%	82.97%
NPV	82.29%	82.90%	83.03%	82.90%
Total Ac	82.57%	82.94%	83.30%	82.94%

Abbreviations: Se: sensitivity; Sp: specificity; YI: Youden’s index; PPV: positive predictive value; NPV: negative predictive value; Ac: accuracy. Calculated by Sensitivity+Specificity-1. ^aModel 1 is multivariate logistic regression model. ^bModel 2 is a multivariate logistic regression model adjusted by weighting AOR value. ^cModel 3 is a multivariate logistic regression model adjusted by weighting AUC value. ^dModel 4 is a multivariate logistic regression model adjusted by weighting AOR and AUC value.