MCAP Summer Institute

The Methodology Center at Purdue's Summer Institute on Longitudinal Data Analysis Institute will be held July 13th - July 18th, 2025. 

For more information for participants, please go here.

For more information about teaching assistantships, please go here.

For more information about our grant funding for the course, visit the NIH's description of the course funding here.

Our week-long Summer Institute is designed to meet the needs of 50 participants each year, welcoming individuals from diverse career stages and backgrounds. We aim to support graduate students, post-docs, and faculty, all of whom are eager to enhance their knowledge in longitudinal data analysis.  

This course is ideal for individuals with a foundational understanding of statistics who seek to learn and apply longitudinal methods in their work. We specifically encourage applicants who are not already experts in longitudinal data analysis but who see the potential for these skills to enhance their research or professional contributions. 

Project Summary:

Contemporary large-scale NIH initiatives have led to the emergence of many high-quality publicly available longitudinal datasets that that include complex data of various types, sources, and domains (e.g., biological, social, individual, family, neighborhood, etc.). However, use of these datasets without training can lead to scientific setbacks, including work that is imperfect, misleading, or even incorrect. There is an urgent need for educational programming to train researchers both within and outside of academic careers on the innovative and responsible use of publicly available, large, and complex longitudinal datasets. This R25 grant develops and offers an “Interdisciplinary Summer Institute on the Analysis of Complex, Large-Scale Longitudinal Data”, refining it each year based on evaluation data (aim 1). We will also leverage this program to train graduate students to teach advanced longitudinal methods to participants from multiple disciplines (aim 2). Thus, we will serve two groups: program participants (aim 1), and Purdue graduate student teaching assistants (TAs, aim 2). During an immersive week-long summer institute each year, we will train 50 interdisciplinary participants including students, postdocs and faculty across academic institutions (Y1-Y3), expanding to also include professionals in non-profits, governmental agencies, and industries (Y2, Y3). The course is organized in 10 topics: publicly available longitudinal data sources, introduction to longitudinal data analytic methods, data visualization, missing data, longitudinal categorical data analysis, sampling weights and clustering/ stratification, time varying and time-invariant covariate inclusion, combining multiple data sources, embedded family-based designs, and an intro to sociogenomics—emphasizing cross-cutting themes of data management, visualization and communication, causal inference, measurement and modeling decisions, meaningful effect sizes, and representativeness. Lecture examples and assignments will focus on substance use and associated factors and will use the Adolescent Brain and Cognitive Development study data, although participants will be encouraged to use whatever dataset is most relevant to their own research interests. The summer institute will also feature TAs and additional faculty instructors circulating the room in each session to support students in need of extra assistance in real-time, as well as review and office hour sessions, experience in interdisciplinary environments, networking, and joint practice opportunities to help establish collaborations. We will also train 6 graduate student TAs each year, who will gain supervised experience in content development, instruction (via review sessions), consulting, course evaluation, and leadership within interdisciplinary environments. We have carefully designed recruitment strategies to train a diverse (e.g., under-represented groups, discipline, and career stage and path) workforce, and a multi-pronged evaluation plan. Our program faculty includes 8 faculty experts in longitudinal data analysis and instruction, representing different fields, genders, and career stages.

If you want more information on the grant, email mcap@purdue.edu