Description:

Statistical models incorporating random effects, known as mixed models, provide options for modelling correlated data that violate the assumptions of simpler models. This workshop will introduce several types of mixed models that can handle many common data types, such as repeated measures, longitudinal data, and clustered data. This is primarily a theoretical workshop, not a coding one, but tips on how to implement mixed models in statistical software will be included.

Prerequisite: Knowledge of basic statistical methods and some experience with regression models.