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Longitudinal Data Analysis Using Stata - Online Course

A 3-Day Livestream Seminar Taught by

Stephen Vaisey
Course Dates:

Thursday, November 21 –
Saturday, November 23, 2024

Schedule: All sessions are held live via Zoom. All times are ET (New York time).

10:00am-12:30pm (convert to your local time)
1:30pm-3:30pm

Watch Sample Video

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:

    1. the ability to model the evolution of outcomes over time; and
    2. 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:

    1. Mixed models (including latent growth curves)
    2. Two period difference-in-differences
    3. Fixed-effects models (one-way and two-way)
    4. Between-within models
    5. Dynamic panel models

In addition to considering these approaches and their implementation in Stata, 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).

Starting November 21, we are offering this seminar as a 3-day synchronous*, livestream workshop held via the free video-conferencing software Zoom. Each day will consist of two lecture sessions which include hands-on exercises, separated by a 1-hour break. You are encouraged to join the lecture live, but will have the opportunity to view the recorded session later in the day if you are unable to attend at the scheduled time.

*We understand that finding time to participate in livestream courses can be difficult. If you prefer, you may take all or part of the course asynchronously. The video recordings will be made available within 24 hours of each session and will be accessible for four weeks after the seminar, meaning that you will get all of the class content and discussions even if you cannot participate synchronously. 

Closed captioning is available for all live and recorded sessions. Captions can be translated to a variety of languages including Spanish, Korean, and Italian. For more information, click here.

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"He managed to help me create an intuition and further excitement for longitudinal methods and analysis.” 

“Stephen was a great teacher who took time to clearly explain theoretical concepts and would thoroughly answer all of the questions during the stream and on Slack. He managed to help me create an intuition and further excitement for longitudinal methods and analysis.” 

Vassilena Iankova

Ludwig Maximilian University of Munich Klinikum

“I enjoyed the coverage of material, the pace, the way concepts were explained, and the combination between classes and exercises.” 

“I enjoyed the coverage of material, the pace, the way concepts were explained, and the combination between classes and exercises. 

Pilar Larroulet

Rutgers-Newark

“The instructor has the amazing skill of breaking down complex things to simplify them."

“The instructor has the amazing skill of breaking down complex things to simplify them. He is very knowledgeable and kept the focus on main issues. Dr. Vaisey answered all of the questions raised to satisfaction. 

Vikas Agrawal

Jacksonville University

“Professor Vaisey takes very complicated concepts and explains them in an easily digestible manner."

“Professor Vaisey takes very complicated concepts and explains them in an easily digestible manner. I appreciate the level of detail he provides and his willingness to go “off script” to give more explanation. Lastly, he infuses his quirky and delightful humor into his lectures, which helps take the edge off and makes learning fun.”

Alice Daugherty

The University of Alabama

“I liked the very clear explanations illustrated with examples."

“I liked the very clear explanations illustrated with examples. I also liked that there was a great deal of extra material given in the course. The materials provided, such as the slides, examples, and Stata do files were all outstanding.”

Karen Glaser

King's College London

“My lack of comfort with panel data has been holding back my research. Now I feel much more confident to move forward!”

“I really enjoyed this course. My lack of comfort with panel data has been holding back my research. Now I feel much more confident to move forward!”

Danielle Lamb

Toronto Metropolitan University

"I found this course to be immensely helpful and valuable to my statistical training..."

“I thought Dr. Vaisey’s attention to practical problems and examples was very effective for my learning. Stats lectures can sometimes feel very abstract with all of the formulas, but working through practical examples in class helped me think about my own research in a productive way. Even though this workshop was intensive and some of the topics were quite complicated, Dr. Vaisey explained any questions/topics raised in a clear and accessible way. This course was very well thought out. My understanding of the course material would build each day and I feel more confident in my ability to further study some topics. I found this course to be immensely helpful and valuable to my statistical training as I continue to develop my research in grad school.” 

Radhika Prasad

University at Albany, SUNY 

"Stephen effortlessly and effectively teaches longitudinal data analysis, from basic descriptive statistics to highly complex topics."

“Stephen Vaisey fits perfectly into the ethos of Statistical/Code Horizons– high-level statistics taught in a practical, accessible way.

Stephen is the epitome of this ethos. He effortlessly and effectively teaches longitudinal data analysis, from basic descriptive statistics to highly complex topics. This course is for everyone; great for beginners and advanced folks.

This is my second course with Stephen and my 10th with Statistical Horizons. Could not recommend this and Statistical/Code Horizons enough.”

Joel Capellan

Rowan University

“I appreciated that the slides and examples were estimated live during the session."

“I appreciated that the slides and examples were estimated live during the session. Also, that comments and interpretations were provided and that live commands in Stata were stored every day. The chat and Slack were useful for contact with the instructor, who was experienced and professional. He provided great advice for further reading. Finally, the fact that all sessions are recorded and available for 30 days after the course is very helpful.”

Magdalena Osińska

Nicolaus Copernicus University in Toruń