Longitudinal Data Analysis Using R

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Date/Time
Date(s) - 07/30/2020 - 07/31/2020
9:00 am - 5:00 pm

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This seminar will be hosted by Statistical Horizons.

Longitudinal Data Analysis Using R, Taught by Dr. Stephen Vaisey
July 30-31, 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.

The cost of attendance is $995 (though there is a sizeable discount for early registration). Click here for more info.

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