This is a preview. Log in through your library . Abstract Students in statistics or data science usually learn early on that when the sample size n is large relative to the number of variables p, ...

This is a preview. Log in through your library . Abstract This paper rigorously establishes that the existence of the maximum likelihood estimate (MLE) in high-dimensional logistic regression models ...

A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological ...

To study the role of genetic factors in the etiology, susceptibility, or severity of disease, several methods are available. In a transmission disequilibrium test, genotypes of cases are compared to ...

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 ...