Introduction: We present an ordinal logistic regression model for identification of items with differential item functioning (DIF) and apply this model to a Mini-Mental State Examination (MMSE) ...

Standardized coefficients in logistic regression analysis have the same utility as standardized coefficients in linear regression analysis. Although there has been no consensus on the best way to ...

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.

Purpose To collect data for the development of a more universally useful logistic regression model to distinguish between a malignant and benign adnexal tumor before surgery. Patients and Methods ...

I predict you'll find this logistic regression example with R to be helpful for gleaning useful information from common binary classification problems.

Scanning laser polarimetry: logistic regression analysis for perimetric glaucoma diagnosis A Ferreras, L E Pablo, A B Pajarín, J García-Feijoo & F M Honrubia Eye 23, 593–600 (2009) Cite this ...

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.

Increased triglyceride-glucose (TyG) index values are strongly associated with decreased lung function in healthy individuals.