Quantitative Bias Analysis

Elizabeth Rose Mayeda, MPH, PhD, UCLA Fielding School of Public Health

This workshop will cover methods for conducting quantitative bias analysis in epidemiologic research. Dr. Mayeda will first provide a brief introduction to confounding, information bias, and selection bias using causal diagrams. Next, she will cover deterministic and probabilistic bias analysis. Dr. Mayeda will discuss examples of bias analysis in her own work on determinants of cognitive decline in older adults. At the end of the workshop, participants should walk away with an understanding of the motivations behind quantitative bias analysis and how to use tools for conducting quantitative bias analysis.