Multivariable Logistic Regression
To adjust for confounders a multivariable logistic regression analysis
was used. The model estimated the likelihood and statistical
significance of a discordant referral as a function of the cervical
cytology while controlling for clinic type, race, age group, and time
between policy and referral to the VCU Department of Obstetrics and
Gynecology. We used the c-statistic to evaluate the strength of the
model’s ability in predicting similar outcomes to those observed in the
study population.