Title: Introduction to Mediation Analysis
---------------------------------------------------------

Abstract: Mediation analysis is a statistical technique that is used to parse the direct, indirect, and total effect an independent variable (X) on a dependent variable (Y) in the presence of a mediating variable (M).  For example, age (X) is associated with higher systolic blood pressure (Y).  Age is also associated with higher weight (M) and increased weight is associated with higher systolic blood pressure (SBP).  Age has a direct effect on SBP as well as an indirect effect on SBP through it's effect on weight.  This talk will introduce the concepts of mediation analysis and demonstrate how to conduct mediation analysis using regression, structural equation modeling (SEM), and how to estimate bootstrap standard errors for mediation models with SEM.

Bio of the speaker: Chuck Huber is the Director of Statistical Outreach at StataCorp and an Adjunct Associate Professor of Biostatistics at the Texas A&M School of Public Health. In addition to working with Stata's team of software developers, he produces instructional videos for the Stata YouTube channel, writes blog entries, develops online NetCourses, and gives talks about Stata at conferences and universities. Most of his current work is focused on statistical methods used by psychologists and other behavioral scientists. He has published in the areas of neurology, human and animal genetics, alcohol and drug abuse prevention, nutrition, and birth defects.

Registration Link: https://libcal.dartmouth.edu/calendar/itc/2021DSAIW3

** Registrants will receive a zoom link one day before the webinar.