Logistic regression is widely used for binary outcomes but struggles with perfect separation, causing inflated odds ratios and unstable predictions. We propose a pre-hoc method to detect both direct and latent perfect separation and show that although latent separation leads to infinite estimates, the ratio of coefficients converges to a true value.
