GEE is an extension of the generalized linear modeling (GLM) framework for dependent data.  GEE can be used with longitudinal data, clustered data, and other forms of dependent data where a GLM may not be appropriate.  In this workshop we will discuss fitting models using GEE in Python with the Statsmodels package.  We will briefly cover […]

This is a four-part workshop introducing programming concepts to those with little-to-no programming experience. The four 2-hour sessions will take place over two weeks, with Python being taught in the first three sessions, and Matlab in the fourth session. Computers are provided. Session 1: Feb 6, 11am - 1pm - Location: MLB 2001a Session 2: […]

Mixed models are an extremely useful modeling tool for situations in which there is some dependency among observations in the data, where the correlation typically arises from the observations being clustered in some way. For example, it is quite common to have data in which we have repeated measurements for the units of observation, or […]

We'll discuss mixed model regression (also known as multi-level models or hierarchical linear models) in this session which is used for repeated measures data or data which has a clustering element.  We'll start with a theoretical overview, discuss choosing an appropriate model, fitting the models, checking assumptions and post-hoc analysis. We'll also cover diagnosing convergence […]