JSTOR Daily

Mixed Effects Logistic Regression Models for Multiple Longitudinal Binary Functional Limitation Responses with Informative Drop-Out and Confounding by Baseline Outcomes

In the context of analyzing multiple functional limitation responses collected longitudinally from the Longitudinal Study of Aging (LSOA), we investigate the heterogeneity of these outcomes with ...
JSTOR Daily

Interpreting Parameters in the Logistic Regression Model with Random Effects

This is a preview. Log in through your library . Abstract Logistic regression with random effects is used to study the relationship between explanatory variables and a binary outcome in cases with ...
CU Boulder News & Events

Regression for Binary and Count Data: Logistic and Poisson Regression

"Logistic and Poisson Regression," Wednesday, November 5: The fourth LISA mini course focuses on appropriate model building for categorical response data, specifically binary and count data. The most ...
eWeek

What is Logistic Regression? A Comprehensive Guide

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Logistic regression is a statistical technique used to ...