| Description |
- Mediation analysis helps researchers understand how and why interventions work, but traditional approaches depend heavily on how often data are collected, making results hard to interpret and compare across studies. This seminar introduces continuous-time mediation models, a more flexible approach that better captures how effects unfold over time, even when measurements are unevenly spaced. Using applied examples, Pesigan will show how this framework clarifies when mediation effects begin, how they change and which time periods matter statistically. The session will wrap up with practical guidance for researchers, including how to implement these methods using open-source cTMed R software and what they mean for study design in health and behavioral research.
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