Dr. Sandra Safo's research interests are in developing statistical methods and computational tools to help identify risk factors for complex diseases: multivariate statistical methods, statistical learning (including classification, discriminant analysis,... Read more »
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... Read more »
Join the Gillings School community in discussing COVID-19. Please send questions to chrisana@email.unc.edu. If you are not able to attend, we will do our best to still answer your questions.... Read more »
Dr. Devan V. Mehrotra has, over the past 30 years, made significant contributions towards the research, development and regulatory approval of medical drugs and vaccines across a broad spectrum of... Read more »
Dr. Sharon Browning's expertise is population genetics methods for large scale genetic data. In this lecture, she will discuss "Population genetics inference using segments of identity by descent." Segments of... Read more »
Supporting students in difficult situations can be confusing, challenging and time-consuming. Our students face a variety of issues that are complex. We want to make sure you have the resources... Read more »
Join the Gillings community for a conversation with Pam Fessler, MPA, journalist, NPR correspondent and author of Carville's Cure: Leprosy, Stigma, and the Fight for Justice. Her book highlights how the U.S. confined leprosy patients through much of the 20th century and how the patients fought against the injustice. Fessler will discuss lessons learned from... Read more »
Dr. Tyler VanderWeele holds degrees from the University of Oxford, University of Pennsylvania, and Harvard University in mathematics, philosophy, theology, finance, and biostatistics. His research is focused on distinguishing between... Read more »
Dr. Ashley Petersen's research focuses on developing methods in the area of statistical learning, and in building flexible and interpretable data-adaptive models that are useful in modern settings with large... Read more »
Explore public health in action! Join the virtual PHield trip with RTI International on Feb. 18 from 1-3:00 p.m. The event will feature a keynote on mobilizing global public health... Read more »
Dr. Lina Montoya's doctorate was funded by an F31 NIH grant from the National Institute of Allergy and Infectious Diseases. Her project leveraged data from a Sequential Multiple Assignment Randomized Trial (SMART) called Adaptive Strategies for Preventing and Treating Lapses of Retention in HIV Care (ADAPT-R; PIs: Drs. Petersen and Geng) to estimate individualized treatment... Read more »
Dr. Richard Zink spent 17 years in and around medical product development at a real-world data company (Target RWE) where he led data management and statistics in the analysis and reporting of data derived from electronic medical records; a software company (SAS Institute) where he developed and supported platforms to analyze and visualize safety and... Read more »
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 »
Dr. Xiang Zhou is a John G. Searle Assistant Professor of biostatistics who received his M.S. in statistics and PhD in neurobiology from Duke University (2010). His research focuses on developing statistical methods and computational tools for genetic and genomic studies. These studies often involve large-scale and high-dimensional data; examples include genome-wide association studies and... Read more »
This workshop qualifies for 1 hour of credit toward the Gillings School's annual inclusive excellence training requirement for faculty and staff. The goal of the National Institutes of Health (NIH) Diversity Supplement program is to enhance the diversity of the research workforce by recruiting and supporting students, postdoctorates and eligible investigators from underrepresented backgrounds, including... Read more »
