settings. Among these, Logic regression was developed to investigate a large number of binary exposures as they relate to a … epidemiologic audience. In this paper, we review and discuss Logic regression as a potential tool for epidemiological studies, using … population-based Danish cohort. Logic regression identifies predictors that are Boolean combinations of the original (binary …

these models are often difficult to interpret in a clinical setting. Logic regression (LR) enables modeling a binary outcome … Logic Regression (OLR). Several simulations comparing OLR and Classification and Regression Trees (CART) demonstrate that … Logic Regression is publicly available on CRAN in the OrdLogReg package, http://cran.r-project.org/. …

identification method combined with the new regression methodology logic regression of Ruczinski et al. (2003). LogicMotif has two …, logic regression is used to build a predictive model of outcome of interest (either gene expression or up and down … first step and builds regression or classification models in the second step using logic regression that is particularly …