Logistic regression is a powerful technique for fitting models to data with a binary response variable, but the models are difficult to interpret if collinearity, nonlinearity, or interactions are ...

As the coronavirus disease 2019 (COVID-19) pandemic has spread across the world, vast amounts of bioinformatics data have been created and analyzed, and logistic regression models have been key to ...

Journal of the Royal Statistical Society. Series D (The Statistician) A three-parameter family of survival models is introduced. The base-line density is derived and the main properties of the model, ...