An Overview of Linear Mixed Models

RAWL 2070 | 8:30 a.m. - 4:00 p.m.

 

Description

This workshop discusses the proper use of linear mixed models (LMM) and generalized linear mixed models (GLMM) in the analysis of experiments involving correlated data. These correlations may arise from design considerations, measurements taken over time or space on the same unit,  as well as hierarchical or clustering sampling procedures. The morning will focus on general aspects of linear mixed models (both conditional and marginal model approaches), including estimation approaches, the analysis of incomplete block designs and the analysis of longitudinal studies including crossover designs. The afternoon will focus more on sample size/power considerations and an overview of the generalized linear mixed effects models. The session will present extensive case studies, and will consider a variety of statistical packages, including SAS, JMP, SPSS, and R.