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Longitudinal Data Analysis Using SAS

Event Details

Longitudinal Data Analysis Using SAS

Time: October 10, 2014 at 9am to October 11, 2014 at 5pm
Location: Temple University Center City
Street: 1515 Market Street
City/Town: Philadelphia
Website or Map: http://www.statisticalhorizon…
Phone: 610-642-1941
Event Type: training, seminar
Organized By: Statistical Horizons LLC
Latest Activity: Jul 14, 2014

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Event Description

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.

But 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 seminar 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.

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