Longitudinal Data Analysis Using R – February 2025
Event Phone: 1-610-715-0115
Upcoming Dates
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27FebLongitudinal Data Analysis Using R10:00 AM-3:30 PM
Cancellation Policy: If you cancel your registration at least two weeks before the course is scheduled to begin, you are entitled to a full refund (minus a processing fee of $50).
In the unlikely event that Statistical Horizons LLC must cancel a seminar, we will do our best to inform you as soon as possible of the cancellation. You would then have the option of receiving a full refund of the seminar fee or a credit towards another seminar. In no event shall Statistical Horizons LLC be liable for any incidental or consequential damages that you may incur because of the cancellation.
A 3-Day Livestream Seminar Taught by Stephen Vaisey, Ph.D.
The most common type of longitudinal data is panel data or repeated measures data, consisting of measurements of predictor and response variables at two or more points in time for many individuals (or other units). Panel data enable two major advances over cross-sectional data:
- the ability to model the evolution of outcomes over time; and
- the ability to “control” for unobserved unit-specific heterogeneity, enabling better causal inferences.
Different data structures allow researchers to use panel data in different ways. In this course, we will focus on the following approaches:
- Mixed models (including latent growth curves)
- Two period difference-in-differences
- Fixed-effects models (one-way and two-way)
- Between-within models
- Dynamic panel models
In addition to considering these approaches and their implementation in R, we will discuss when each is (not) suitable given data constraints. We will also consider how to adapt these approaches to deal with limited dependent variables (especially binary outcomes).
This is a hands-on course with opportunity for participants to practice the different methods using various R packages.
Venue: Livestream Seminar