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 We are pleased to announce that we will be presenting a poster at the first annual BRIDGES!

Are you interested in GEE and MLM?  Are you confused about when to use GEE and MLM?  Are you confused about what GEE and MLM refer to?  Come check out our poster and find out!

Generalized estimating equations (GEE) and multilevel models (MLM) are two statistical techniques often used to model complex data sets, such as longitudinal or nested data.  There has been some controversy in recent years about the utility of each and when to best use one versus the other. To help, we've disentangled these confusing acronyms in clearly laid out informational poster!

GEE and MLM: Which acronym is a better fit for my data?

Many types of data collection generate observation that violate the assumption of independence required by classical statistical models, including, for example the collection of data from individuals working in the same team or the collection of data from the same individual over time. These violations can be handled in a variety of ways, but two popular methods are Generalized Estimating Equations (GEE) and Multilevel modeling (MLM). We discuss the relationship between these modeling approaches and discuss situations in which these methods might be more or less appropriate.

The poster session is from 5:30 - 7 in Riggs Alumni Center, and there will be drinks and munchables!  More information can be found at: www.bridges.umd.edu.

We hope to see you there!