November 6, 2025
12:00 – 2:00 pm Eastern
In person at CTBH
(46 Centerra Parkway, 3rd Floor, Aquarium Conference Room)
and via Zoom
Registration is required:
Please register here to attend via Zoom.
Please email Sonia.D.Oren@Dartmouth.edu to attend in person.
About the Tutorial: Time-varying effect modeling (TVEM) is a statistical technique for modeling dynamic patterns of change. TVEM is particularly useful when applied to intensive longitudinal data because it allows for a highly flexible examination of outcomes over continuous time, as well as associations between variables and moderation effects. I will provide background on TVEM, discuss its various use cases, and explain how to interpret models when working with intensive longitudinal data. I will present code in SAS (and reference R resources) and share several materials for learning more about TVEM. Finally, I will leave time for questions and discussion. If you come with questions about applying TVEM to your own data, that will be especially fun!
About the Presenter: Dr. Samuel W. Stull is a T32 postdoctoral research fellow in the Center for Technology and Behavioral Health at Dartmouth College. He received his PhD in Biobehavioral Health (emphasis in applied statistics) from Penn State University working under the mentorship of Dr. Stephanie Lanza. As a PhD student, Dr. Stull was awarded a National Science Foundation Graduate Research Fellowship and a NIDA NRSA F31 Predoctoral Fellowship. Prior to graduate school, he worked as a post-baccalaureate fellow at the NIDA Intramural Research Program under the mentorship of Drs. Kenzie Preston and David Epstein.
Dr. Stull’s research is focused on the role of positive moods states and nondrug rewards in supporting recovery from addiction on a daily basis. Integrated in his work is often the use of innovative methods to delineate dynamic and heterogenous daily processes (e.g., time-varying effect modeling, multilevel latent class analysis). As a postdoctoral fellow, Dr. Stull will work under the mentorship of Drs. Lisa Marsch and Nicholas Jacobson to learn key theoretical (i.e. science of behavior change) and methodological approaches (i.e. adaptive interventions, micro-randomized trials) for developing digital interventions. Dr. Stull’s focus will include the development of a novel humor-based digital intervention to promote greater treatment engagement, enjoyment, and adaptive coping strategies to support recovery from addiction.