Unification of frequentist inference and machine learning for pterygomaxillary morphometrics.

Background: The base of the skull, particularly the pterygomaxillary region, has a sophisticated topography, the morphometry of which interests pathologists, maxillofacial and plastic surgeons. The aim of the study was to conduct pterygomaxillary morphometrics and test relevant hypotheses on sexual and laterality-based dimorphism, and causality relationships.

Materials And Methods: We handled 60 dry skulls of adult Asian males (36.