Logistic regression model
Univariate analysis showed six significant predictors, multivariate analyses resulted in a logistic regression model consisting of five significant predictors: age (OR 0.95, 95% CI 0.90 – 1.00), duration of menstruation >7 days (OR 2.05, 95% CI 1.10 – 3.82), dysmenorrhea (OR 2.48, 95% CI 1.21 – 5.07), parity ≥5 (OR 7.63, 95% CI 1.51 – 38.46), and previous caesarean section (OR 2.21, 95% CI 1.05 – 4.64). The AUC of the final prediction model after correcting by the shrinkage factor was 0.71 (95% CI 0.64-0.78) (Figure 4).
The final model is described in the article of Stevens et al (1).