A hierarchical logistic regression model is proposed for studying data with group structure and a binary response variable. The group structure is defined by the presence of micro observations ...

Because many common DIF detection methods ignore potential DIF variance, this paper proposes the use of random coefficient hierarchical logistic regression (RC-HLR) models to test for both uniform DIF ...

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.

Political Analysis, Vol. 12, No. 4, Special Issue on Bayesian Methods (Autumn 2004), pp. 375-385 (11 pages) We fit a multilevel logistic regression model for the mean of a binary response variable ...