APS
2024 APS Annual Convention
Methodological Advancements in Causal Inference for the Study of Stress and Health
Although the association between stress and health is robust, much of the research in this area is correlational. Recent advances in causal inference methodology allow for a deeper interrogation of potentially causal mechanisms. This symposium highlights statistical tools for evaluating causal questions in observational data when studying stress and health.
Chairs & Discussants
- Savannah BoydChair
The University of Arizona - Timothy SmithDiscussant
The University of Utah
Presentations
- Dagnabbit: Incorporation of Directed Acyclic Graphs in Stress ResearchDaniel Moriarity
- A Propensity Score Matching Analysis of Loneliness and Blood PressureSavannah Boyd
- Mendelian Randomization for the Study of Stress and Health: How, When, and Why?David Sbarra
- Adverse Interpersonal Experiences and Internalizing Psychopathology: Using Twin Data to Examine Biometric ModerationSusan South