Competing Risks
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
The elephant in the room: Causal inference in the face of competing events
Jessie K. Edwards and Jessica G. Young address the challenges of causal inference when competing events occur. This article explores methodological approaches to handle these complexities and offers guidance for improving validity in epidemiologic research.
Tools and Insights for the Epidemiology of Cognitive Aging and Dementia
Jennifer Weuve of Rush University Medical Center explores tools and insights for studying cognitive aging and dementia. This article reviews epidemiologic approaches, measurement challenges, and strategies to advance research on brain health in aging populations.
Introduction to Bayesian Methods
Learn the fundamentals of Bayesian methods in epidemiologic research with this introductory playlist. Authored by Richard MacLehose (University of Minnesota), it explains core concepts, practical applications, and advantages of Bayesian approaches for statistical analysis and decision-making.
Competing Risks – Part 2
Delve deeper into competing risks in survival analysis with Part 2 of this scholarly playlist. Authored by Bryan Lau, this resource explores advanced concepts and practical applications for epidemiologic research, helping analysts address complex time-to-event data challenges.
