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18th European Headache Congress

Objective: This one-hour intermediate course aims to deepen participants’ understanding of neuroepidemiological research. It focuses on defining target populations, exploring effect modification and interactions, and introducing the self-controlled design approach. By the end of the session, participants will be able to refine research questions applied to the correct target population, recognize and account for effect measure modifications, and understand the utility of self-controlled designs in headache research.Overview: This intermediate-level session addresses three topics in neuroepidemiology. The session begins with exploring defining target populations and research questions, guiding participants on the critical steps for specifying populations of interest, and framing research questions in headache epidemiology. Next, participants delve into effect heterogeneity and interaction, focusing on understanding association variations across subgroups and the implications for identifying and interpreting effect measure modifiers in headache research. The session concludes with an introduction to self-controlled design methods, emphasizing their value in mitigating confounding in observational studies and their specific applications in headache research. Together, these topics provide participants with a more nuanced approach to designing and analyzing neuroepidemiological studies, preparing them to address complex research questions in the field of headache.

Breakout room 1

Neuroepidemiology: intermediate level course

Teaching course

TC speaker

Confounding and causal diagrams

Objective: This one-hour course aims to introduce foundational concepts in neuroepidemiology with a special focus on headache research. It will focus on the essentials of health data science, understanding confounding through causal diagrams, and challenges in measuring headache in population-based studies. Participants will gain an introductory understanding of the methodologies and challenges unique to neuroepidemiological research, setting the groundwork for more advanced studies.Overview: This introductory session covers three core topics in neuroepidemiology. The session begins with an overview of health data science tasks, highlighting the areas of description, prediction, and causal inference critical to population-based headache research. Following this, participants will explore confounding and causal diagrams, focusing on how visualizing relationships between variables can aid in identifying causal relationships and addressing potential biases. The session concludes with a practical introduction to headache measurements in epidemiologic studies, discussing the tools and challenges in capturing accurate and reliable data on headache frequency, intensity, and impact. Together, these topics provide a comprehensive foundation in neuroepidemiology, equipping participants with the basic tools and knowledge to understand and conduct population-based headache research.

Neuroepidemiology: the basics

Invited lecture

Self-controlled design for headache research

Chisato Ito

Chair

TC speaker