. 2023 Mar 13;13(6):1084. doi: 10.3390/diagnostics13061084

Table 6.

Equations of the linear regression models for calculating the expected value.

Model	Equations
Model 1	Y = 1.150 + 0.197 (p16^{INK4A AS}) + 0.269 (Ki–67^AS)
Model 2	Y = −0.358+ 0.267 (Ki–67^AS) + 0.172 (p16^{INK4A P/N}) + 0.570 (Cortactin^P/N)
Model 3	Y = −0.346 + 0.245 (Ki–67^AS) + 0.152 (p16^INK4AAS) + 0.557 (Cortactin^P/N) + 0.518 (RNA E6/E7 ^P/N)
Model 4	Y = 0.535 + 0.387 (Ki–67^AS) + 0.142 (p16^{INK4A AS}) + 0.530 (Cortactin^P/N) + 0.506 (RNA E6/E7 ^P/N) − 0.786 (Ki–67 ^P/N)
Model 5	Y = 0.920 + 0.387 (Ki–67 ^AS) + 0.139 (p16^{INK4A AS}) + 0.539 (Cortactin ^P/N) + 0.517 (RNA E6/E7 ^P/N) − 0.747 (Ki–67 ^P/N) − 0.153 (Age groups)

Note: P/N = positive or negative status, AS = Allred scored. Means of the expected values from five linear regression models in clinical pathological grades (each sample) of confirmed sample sets were shown in Supplementary Figure S5.