Confounding
Conceptual Papers on Race, Socioeconomic Status or Position, and Sexual & Gender Minority Health
Ellen Caniglia (NYU), Lorraine Dean (JHU), and William Goedel (Brown University) present conceptual papers addressing race, socioeconomic status or position, and sexual and gender minority health. This playlist explores frameworks for understanding health disparities and advancing equity in epidemiologic research.
Likely biased but possibly useful: the implications of conditioning on future events for interpretation of effects in perinatal epidemiology
Session Chairs: Mollie Wood, Dominique Heinke
New Versus Prevalent User Designs In Pharmacoepidemiology: Time To Get Principled About When We Can Be Pragmatic
SER-ISPE Collaboration Jess Edwards and Til Sturmer
Association of Changes in Air Quality With Incident Asthma in Children in California, 1993-2014
Erika Garcia, University of Southern California Link to Article
Causal Directed Acyclic Graphs (DAGs)
Jessica L. Rohmann introduces causal directed acyclic graphs (DAGs) as a powerful tool for clarifying assumptions and identifying bias in epidemiologic research. Learn how DAGs improve study design and interpretation by visually mapping causal relationships.
Emulating target randomized trials to reduce bias in observational studies of comparative effectiveness
Goodarz Danaei, Bernard Lown Associate Professor of Cardiovascular Health SER-AHA Collaboration