Longitudinal Data Analysis Using SAS

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Date(s) - 12/08/2017 - 12/09/2017
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—consisting of measurements of predictor and response variables at two or more points in time for many individuals. Panel data have two major attractions: the ability to control for un-observable, and the determination of causal ordering. But the downside is that repeated measurements typically violate assumptions of independence. This course covers four methods for solving the problem of dependent observations: robust standard errors, generalized estimating equations, random effects models and fixed effects models. You’ll learn how to use these methods for quantitative outcomes, categorical outcomes, and count data outcomes.

Longitudinal Data Analysis seminar will be taught by Dr. Paul Allison and is hosted by Statistical Horizons on December 8-9. The course is intended for participants with a good working knowledge of the principles and practice of multiple regression. Do not need to know algebra or calculus.

The early registration fee of $895 is available until November 8. To register click HERE.

To find more information about the course including material and lodging click HERE.


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