The goal of the workshop is to describe statistical, methodological, and conceptual aspects of mediation analysis from a modern causal inference perspective. The one-day workshop consists of four parts. Part I covers definitions, history, and applications for the mediation model. The purpose of this section is to provide an overview of the research questions the mediation model can answer. Examples from mediation analysis in prevention and treatment research are described. In Part II, the conceptual model described in Part I is quantified in the estimation of mediation in single and multiple mediator models using modern causal inference methods. Estimation of mediation effects including assumptions, statistical tests, confidence intervals, and effect size are covered. The methods described in this section serve as the foundation for more advanced methods in Part III, which consists of mediation in more complicated models and methods to assess the sensitivity of results to model assumptions such as temporal bias, confounder bias, and selection bias. In Part IV, general practical and theoretical issues in the investigation of mediation are discussed, especially approaches to address violations of mediation model assumptions.
Post-conference Virtual Methodology Training Workshops, Summer 2024
