Correlated data arise frequently in scientific fields. This may be due to grouping of subjects or repeated measurements on each subject over time. Mixed model analysis provides a general, flexible approach in these situations. It allows a wide variety of correlation patterns to be explicitly modeled. In this workshop, we will introduce some mixed models such as the random intercept model, random slope model and the general framework of the linear mixed-effects model.

Ashley Regling
Email: scholar1@buffalo.edu
Phone: 7168294718