Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

This paper studies a model widely used in the weak instruments literature and establishes admissibility of the weighted average power likelihood ratio tests recently derived by Andrews, Moreira, and ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...

This is a preview. Log in through your library . Abstract This article addresses the problem of estimating the population mean of the study variable y using information on two auxiliary variables x ...

Many complex disease traits are observed to be associated with single nucleotide polymorphism (SNP) interactions. In testing small-scale SNP–SNP interactions, variable selection procedures in logistic ...