The regression models for the categorical response are frequently used in medical research.
These models assume that the data are sampled from a specific population, but this is often violated in practice. This study introduces a novel loss function that are based on a divergence we call the harmonic mean divergence. While there are many studies on robust methods for regression models, divergence-based approaches have great promise. We show interesting properties of our proposed loss function and its robustness.