Laurence D. Robinson, Nicholas P. Jewell, Some Surprising Results about Covariate Adjustment in Logistic Regression Models, International Statistical Review / Revue Internationale de Statistique, Vol.

This article proposes an extension of dominance analysis that allows researchers to determine the relative importance of predictors in logistic regression models. Criteria for choosing logistic ...

What are the advantages of logistic regression over decision trees? This question was originally answered on Quora by Claudia Perlich.

Given logistic regression is substantially more computationally efficient than Cox regression in both settings, we propose a two-step approach to GWAS in cohort and case-cohort studies.

This article presents a complete demo program for logistic regression, using batch stochastic gradient descent training with weight decay. Compared to other binary classification techniques, logistic ...

A new study investigated how logistic regression model training affects performance, and which features are best to include when examining datasets from individuals suffering from COVID-19.