“Linear Mixed Models: An Update"
April 8, 2008
A Presentation by Brady T. West
This talk presents an update on software procedures and options for fitting linear mixed models to continuous outcome variables in a variety of statistical software packages (SAS, SPSS, Stata, R, and HLM). Model fitting strategies will be discussed, in addition to important software considerations, and a practical example will be considered in each software package.
Brady T. West is a Lead Statistician at the Center for Statistical Consultation and Research (CSCAR) on the University of Michigan campus. He received an MA in Applied Statistics from the University of Michigan Statistics Department, and will be pursuing a PhD in survey methodology at the Institute for Social Research starting in September 2008. His primary research interests revolve around regression models for clustered and longitudinal data, and he has authored a book comparing different statistical software packages in terms of their mixed modeling procedures (Chapman Hall/CRC Press, 2006). He specializes in applications of statistical software and analysis of survey data, and through CSCAR teaches several yearly short courses on statistical methodology and software.