Logic Regression is an adaptive regression methodology mainly developed to explore highorder interactions in genomic data. Logic Regression is intended for situations where most of the covariates in the data to be analyzed are binary. The goal of Logic Regression is to find predictors that are Boolean (logical) combinations of the original predictors. In this article, we give an overview of the...

Introduction/Background* The diagnosis of endometrial atypical hyperplasia/endometrioid intraepithelial neoplasia (AH/EIN) remains challenging and subjective in some cases, with variable histologic criteria differences opinion among gynecologic pathologists, potentially leading to under/overtreatment. There has been growing interest the use specific immunohistochemical markers as adjun...