Longitudinal Data Analysis Using R- Remote, July 2020

Event Phone: 1-610-715-0115

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A 4-Day Remote Seminar Taught by Stephen Vaisey, 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. Panel data enable two major advances over cross-sectional data: 1) the ability to control for unobserved differences across units, and 2) the ability to investigate questions of causal ordering.

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 is a hands-on course with opportunity for participants to practice the different methods using various R packages.

Venue: