Mixed Effects Modeling Lab (McNeish)

The Mixed Effects Modeling Lab focuses on development, evaluation, and application of statistical methods to appropriately model data that come from a correlated data structure. Examples of such structures include students nested within schools, patients nested within hospitals, and repeated measures nested within people. In particular, the lab’s research focuses on modeling small sample data, missing data, Bayesian estimation, and extending mixed effects models to novel situations where they may possess untapped advantages.