Design and Analysis of Social Experiments

This course will present the conceptual underpinnings of treatment effect estimation under random assignment and complement those underpinnings with a discussion of frequently encountered challenges in the context of social experimentation. Design, sampling, and analysis issues under random assignment will be addressed followed by a brief introduction to propensity score methods as a quasi-experimental option... Read more »

Event Series Gentle Yoga

Gentle Yoga

Join the Gillings School's Culture of Health for 30-minute gentle yoga online classes at the following times: Gentle Yoga Mondays - noon (30 minutes) Please contact rcerny@email.unc.edu if you would... Read more »

Data Quality in Online Surveys: Design and Diagnostics

Online surveys now represent a large segment of the research on public attitudes and behaviors. In this workshop, participants will cover metrics for evaluating common data quality issues and strategies for maximizing data quality in a variety of online survey designs, including convenience samples, nonprobability samples with quotas and probability-based online panels. Registration required.

MRT-TI Info Session

In this info session, participants will learn about the Mary Rose Tully Training Initiative through the Carolina Global Breastfeeding Institute (CGBI). This program is a Pathway 2 Lactation Consultant training... Read more »

Statistical methods for single-cell and spatial RNA-seq

Dr. Christina Kendziorski's research concerns statistical methods and software for computational biology and genomics. Her group develops statistical methods and software for the analysis of data from high-throughput genomics experiments... Read more »

Logistic Regression

This online short course provides an introduction to logistic regression. Model specification, identification, estimation, hypothesis-testing, and interpretation of results are covered. Software to estimate these models is discussed, but not demonstrated. This is not a course on software, but rather a course on the concepts and uses of logistic regression. Registration required.