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StataCorp will be exhibiting at the ASA 2024 Annual Meeting. We are also hosting a workshop. Attending from StataCorp: Chuck Huber, Director, Statistical Outreach. For more information about the meeting, visit the ASA 2024 Annual Meeting page.
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| Title: | Introduction to causal mediation analysis |
| Presenter: | Chuck Huber, Director, Statistical Outreach, StataCorp |
| Date: | Sunday, 11 August 2024 |
| Time: | 10:00–11:30 a.m. |
| Location: | Level 5, 513A of the Palais des Congrès de Montréal |
| Description: | 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). This workshop will introduce the concepts of mediation analysis and demonstrate how to conduct mediation analysis using regression and structural equation modeling (SEM). It will also demonstrate how to estimate bootstrap standard errors for mediation models with SEM. Then we will generalize these concepts to causal mediation analysis and show how to estimate direct, indirect, and total effects, as well as potential outcome means (POM) and controlled direct effects for binary, multivalued, and continuous treatments on continuous, binary, and count outcomes with continuous, binary, and count mediators. We will also show how to estimate the effects in odds-ratio, risk-ratio, and incidence-rate-ratio scales along with the proportion mediated. We will conclude by showing how to visualize the results with graphs. |
Chuck Huber is Director of Statistical Outreach at StataCorp LLC and Adjunct Associate Professor of Biostatistics at the Texas A&M School of Public Health and at 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.
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