StataCorp Special Talk – Introduction to Mediation Analysis (In-Person)

Please join us for a special talk – Introduction to Mediation Analysis, given by Chuck Huber from StataCorp! This is a free talk to be held in Davis Library Room 219. Space is limited.

Mediation analysis is a statistical technique that is used to parse the direct, indirect, and total effect of 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 its 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.

Speaker: Chuck Huber – Director of Statistical Outreach, StataCorp

Chuck Huber is Director of Statistical Outreach at StataCorp and Adjunct Associate Professor of Biostatistics at the Texas A&M School of Public Health and the New York University School of Global 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 behavioral and health scientists. He has published in the areas of neurology, human and animal genetics, alcohol and drug abuse prevention, nutrition, and birth defects. Dr. Huber currently teaches survey sampling at NYU and introductory biostatistics at Texas A&M, where he previously taught categorical data analysis, survey data analysis, and statistical genetics.