StataCorp Special Talk – Causal Inference for Complex Observational Data (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.

Observational data often have issues that present challenges for the data analyst.  The treatment status or exposure of interest is often not assigned randomly.  Data are sometimes missing, not at random (MNAR), which can lead to sample selection bias.  And many statistical models for these data must account for unobserved confounding.  This talk will demonstrate how to use standard maximum likelihood estimation to fit extended regression models (ERMs) that deal with all of these common issues alone or simultaneously. (60-90 mins)

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.