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 ...
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, ...
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 ...
Multicenter Phase I/II Study of Cetuximab With Paclitaxel and Carboplatin in Untreated Patients With Stage IV Non–Small-Cell Lung Cancer Data from 1,066 patients recruited from nine European centers ...
Internal Mammary Node Irradiation Debate: Case Closed? Not Yet, and Maybe Never Clinical trials frequently include multiple end points that mature at different times. The initial report, typically ...