Date(s) - 02/20/2018 - 02/21/2018
9:00 am - 5:00 pm
Hotel Birger Jarl
There are four widely available methods for dealing with dependence: robust standard errors, generalized estimating equations, random effects models and fixed effects models. This course examines each of these methods in some detail, with an eye to discerning their relative advantages and disadvantages. Different methods are considered for quantitative outcomes and categorical outcomes. This is a hands-on course with ample opportunity for participants to practice the different methods.
If you need to analyze longitudinal data and have a basic statistical background, this course is for you. You should have a good working knowledge of the principles and practice of multiple regression, as well as elementary statistical inference.
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