To investigate the effects of multiple immune predictor variables and age of patients at different stages of cervical disease, we created a statistical model of risk by using multivariable logistic regression that adds age, absolute CD4 count, CD4 percentage, and CD45 white cell count as covariates to correct for multiple comparisons. The gene discussed is CD4; the disease is cervicitis.