Date(s) - 08/02/2018 - 08/03/2018
9:00 am - 5:00 pm
Temple University Center City
Course hosted by Statistical Horizons titled Longitudinal Data Analysis Using R, is being taught by Dr. Stephen Vaisey this August 2-3 in Philadelphia, Pennsylvania.
The most common type of longitudinal data is panel data, consisting of measurements of predictor and response variables at two or more points in time for many individuals. Because panel data violate the standard assumption of independent observations, researchers must choose a strategy to deal with (and, ideally, make use of) this non-independence. In this course we will cover four approaches: 1. Robust standard errors; 2. Generalized estimating equations; 3. Random effects models; 4. Fixed effects models. We will cover each of these methods in some detail, considering their advantages and disadvantages. We will also consider different methods for quantitative and categorical outcomes.
This course is for anyone who wants to learn to analyze repeated measures panel data. Participants should have a basic foundation in linear regression. Basic knowledge of R is useful, but not necessary.