ABSTRACT. Multilevel models (MLMs) are frequently used in social and health sciences where data are typically hierarchical in nature.

A recently available generalized linear mixed models procedure, PROC GLIMMIX, was used to fit the multilevel logistic regression model to our data. Results ...

We detail below the commands for creating multilevel logistic models in the software environments chosen for this book.

SAS GLIMMIX procedure is a new and highly useful tool for hierarchical modeling with discrete responses. This paper is focused on hierarchical logistic ...

In this set of notes: Example Data Sets. Quick Introduction to logistic regression. Marginal Model: Population-Average Model.

In SAS version 8 and later, SAS uses one-tailed z-test on variance and two-tailed z-test on covariance, trying to avoid misleading results by previously used ...

Multilevel Analysis Techniques and Applications by Joop Hox Chapter 6: The Logistic Model for Dichotomous Data and Proportions

We examined two different procedures in SAS version 9.2 for estimating two- level multilevel logistic regression models. R is a freely available object- ...

Multinomial logistic regression is for modeling nominal outcome variables, in which the log odds of the outcomes are modeled as a linear combination of the ...

So, within this procedure, options DIST=BIN and LINK=LOGIT are provided to specify a logistic regression model using a generalized linear model link function.