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) ...

A new study found that both lupus anticoagulant (LA) and anti-β2 glycoprotein I (β2GPI) IgG/IgM antibodies had predictive ...

This article demonstrates the preferred pattern for the application of logistic methods with an illustration of logistic regression applied to a data set in testing a research hypothesis.

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.

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Logistic regression enables you to investigate the relationship between a categorical outcome and a set of explanatory variables. The outcome, or response, can be dichotomous (yes, no) or ordinal (low ...

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 ...

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 ...

The results of this very basic analysis reveal that the number of times Aidan Chiles was sacked in a game and the support, or lack thereof, that he received from the Spartans’ run game were larger ...