Date(s) - 11/30/2018 - 12/01/2018
9:00 am - 5:00 pm
In this seminar, you will learn how to do regression analysis of panel data—the most common type of longitudinal data. Panel data contain measurements of predictor and response variables at two or more points in time for many individuals. Although panel data have many attractions, the downside is that repeated measurements typically violate assumptions of independence. This seminar covers four methods for solving the problem of dependent observations: robust standard errors, generalized estimating equations, random effects (mixed) models and fixed effects models. You’ll learn how to use these methods for quantitative outcomes, categorical outcomes, and count data outcomes.
Here are a few of the topics you won’t want to miss:
- How to use panel data to control for unobserved variables.
- Why fixed effects methods often give very different results from random effects methods.
- How to reshape data from long form to wide form and back again.
If you need to analyze longitudinal data and have a basic statistical background, this course is for you. The course does have a fee of $995, which includes all the course material. There is a early registration fee available until October 30. CLICK HERE to register for the course.
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