Joint NC BERD Seminar: Parameter interpretation in generalized mixed regression models


event sponsored by

Biostatistics and Bioinformatics &

BERD Core, and Duke Clinical and Translational Science Institute (CTSI)


Bahjat Qaqish, PhD

Non-linear link functions cause some difficulty in interpreting parameters in generalized mixed models. This presentation will cover the interpretation of both regression coefficients and variance components in generalized mixed models. Regression coefficients for within- and between-cluster covariates have different interpretations - that will be explained. Interpretation of variance components, within and between, will be covered. The focus will be on logistic and log-linear models, although the ideas apply to other link functions. Numerical examples will be presented. Audience: clinical investigators Technical level: intermediate Registration: This event is being cross-promoted by the NC BERD Consortium, a collaboration of the CTSA-funded BERD cores at UNC-Chapel Hill, Wake Forest University, and Duke University.


Lecture/Talk, and Panel/Seminar/Colloquium