This 2.5 hour course will be offered via Zoom. Attendance is required as the course will not be recorded.

This short course will be a basic introduction to integrative data analysis, the simultaneous analysis of pooled individual-level data. Participants will gain familiarity with the underlying concepts and tools that are central to this approach, which is increasingly used in various fields including public health, behavioral medicine, epidemiology, and clinical trials. The course will include an overview of approaches to harmonizing measurement instruments, common challenges, and potential techniques to address them to improve cross-study comparisons and generalizability. We will cover an example application of integrative data analysis to an ongoing study combining 18 randomized prevention trials. Finally, we will also present some of the limitations of integrative data analyses as well as potential directions for future work.