Table 2.
Estimate | Standard Error | z Value | P Value | |
---|---|---|---|---|
(Intercepts) | −5.202 | 1.0066 | −5.168 | 2.37E‐07 |
ANTFLEEVR | −0.9199 | 0.3111 | −2.957 | 0.00311 |
ERECVEETCSY | 11.1108 | 1.8697 | 5.942 | 2.81E‐09 |
ESSTATDVF | 2.1785 | 0.5023 | 4.337 | 1.44E‐05 |
A logistic regression model to predict the probability of having HCC (P) was built with the following equation: logit(P) = log(P/[1 − P]) = −5.202 0.9199 × ANTFLEEVR + 11.1108 × ERECVEETCSY + 2.1785 × ESSTATDVF. The numeric values of each peptide in the equation were raw values for relative concentrations (PAR of endogenous light peptides to heavy SIS peptides). The optimal cut‐off value for the above equation is 0.432.