Time: June 26, 2014 at 9am to June 27, 2014 at 5pm
Location: Courtyard Washington Embassy Row
Street: 1600 Rhode Island Avenue, NW
City/Town: Washington, D.C.
Website or Map: http://www.statisticalhorizon…
Event Type: training, seminar
Organized By: Statistical Horizons LLC
Latest Activity: Apr 17, 2014
Taught by Paul D. Allison, Ph.D.
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. Such data have two major attractions: the ability to control for unobservables, and the determination of causal ordering.
However, there is also a major difficulty with panel data: repeated observations are typically correlated and this invalidates the usual assumption that observations are independent. 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, categorical outcomes, and count data outcomes.