Month Flat Week Day

University Research Week: Back to Basics

All day

University Research Week returns with the theme Back to Basics. This year, we celebrate the power of foundational research and its real-world impact across many disciplines.

Join us as we highlight the importance of fundamental research as the bedrock of innovation, showcase how groundbreaking discoveries translate to real-world solutions, and offer workshops to equip students and researchers with best practices for diving into and excelling in research.

University Research Week is an annual, campus-wide event sponsored by the Office of the Vice Chancellor for Research and the Office of Undergraduate Research.

Learn More

Odum Institute: Implementing Bayesian Estimation Under Complex Survey Sampling

Tue. 22 Oct, 2024 9:00 am - 1:00 pm

This course will take place over two days (10/22/24 and 10/24/24) and will be offered via Zoom. Attendance is required as the course will not be recorded.

Complex survey sampling techniques (e.g., clustering, stratification, oversampling) allow for cost efficient estimation for large, dispersed populations. As such, they are frequently used in demographic, health, and public opinion survey research settings. In recent years, Bayesian statistical methods, due to their flexibility and intuitive interpretation relative to frequentist methods, have become increasingly popular for analyzing complex survey sample data; however, complex survey sampling introduces certain features (e.g., unequal selection probabilities, dependencies between observations) that violate traditional statistical assumptions and can bias survey estimates.

This course provides a practical introduction to the csSampling R package, which addresses these issues by implementing Bayesian estimation under complex survey sampling. The course will begin with an introduction to Bayesian statistical methods and complex survey sampling as well as the differences between Bayesian and frequentist methods to account for complex survey design. The bulk of the course will focus on a guided tutorial of the csSampling package with sample data and R code. Finally, the instructors will present use cases of how they have used the package in their own research.

Register

URW: UNC Core Facilities Showcase

Tue. 22 Oct, 2024 10:00 am - 12:00 pm

Talk to core directors about your research. Core directors will be at Koury Oral Health Sciences Building (385 S. Columbia St) in the 1st and Ground Floor lobbies with posters and other information about their services and will highlight new services and technologies available to customers. Learn about all of the amazing research infrastructure UNC cores provide across the disciplines. Food will be provided for attendees who have their registration card signed by the requisite number of core directors!

More information

FABRIC: Using the Data Within FABRIC

Tue. 22 Oct, 2024 2:00 pm - 3:00 pm

Using the Data Within FABRIC: Mastering FABRIC Tips and Tricks

Join the FABRIC team for a deep dive into utilizing a wealth of data measured on the FABRIC platform. In this session, Jim Griffioen will guide participants through the essential features that make FABRIC a unique and powerful tool for data-driven research and innovation. The webinar will cover the importance of FABRIC in advancing network experimentation, highlight its exclusive capabilities, and provide a hands-on demo on how to use the data within FABRIC effectively. The session will also offer valuable resources for further exploration.

Learn more at the FABRIC Knowledge Base.

register

Get NC TraCS events and news delivered to your inbox! Subscribe to our weekly email blast

Need help advertising your event? Contact Michelle Maclay at michelle_maclay@med.unc.edu

NC TraCS Institute logo vertical

In partnership with:

Contact Us

Brinkhous-Bullitt, 2nd floor
160 N. Medical Drive
Chapel Hill, NC 27599

919.966.6022
This email address is being protected from spambots. You need JavaScript enabled to view it.

CitE and SUBMit CTSA Grant number - UM1TR004406

Document Access


Social

© 2008-2024 The North Carolina Translational and Clinical Sciences (NC TraCS) Institute at The University of North Carolina at Chapel Hill
The content of this website is solely the responsibility of the University of North Carolina at Chapel Hill and does not necessarily represent the official views of the NIH   accessibility | contact