Date(s) - 05/30/2019 - 05/31/2019
9:00 am - 5:00 pm
Courtyard Atlanta Downtown
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 unobservables, 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.
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.
- Why the default correlation structure for GEE is usually not the best.
- The difference between maximum likelihood and restricted maximum likelihood.
If you need to analyze longitudinal data and have a basic statistical background, this seminar is for you. You should have a good working knowledge of the principles and practice of multiple regression, as well as elementary statistical inference.
This two day course hosted by Statistical Horizons is $995 for two days, which includes all materials. To register for the course CLICK HERE.