Table 6.

Sensitivity and Specificity of the multiple linear regression equation using a panel of CpG sites

Patient numbers of SCC group	Patient numbers of predictive SCC group	Patient numbers of predictive HSIL and LSIL group	Total numbers of each defined group	Sensitivity% (P < 0.01)	Specificity% (P < 0.01)
Patient numbers of SCC group	44	6	60	88
Patient numbers of HSIL and LSIL group	5	60	65		92.31

The multiple linear regression equation is as follows: Y = 0.006X1 + 0.15X2 + 0.29X3 + 0.93X4 − 0.008; multiple correlation coefficiency R = 0.84, adjusted R² = 0.70, P < 0.01; X1, X2, X3, and X4 represent the value of CpG sites nt5606, nt5609, nt5615, and nt5378, respectively; when Y > 0.5, this is determined as positive, and when 0 < Y < 0.5, this is determined as negative