Text Analysis Using R This two-day workshop hosted by the Odum Institute for Research in Social Science will introduce participants to the basics of text analysis in R. Text analysis is a promising new approach that uses machine learning to discover patterns, trends, and other information by using text as data. Participants will develop the... Read more »
Dr. Lorin Crawford is a Senior Researcher at Microsoft Research New England and the RGSS Assistant Professor of Biostatistics at Brown University. His most recent work has earned him a... Read more »
Computational Methods for Analyzing Big Data in the Social Sciences In this workshop hosted by the Odum Institute for Research in Social Science, participants will get an overview of various aspects of computational research methods. Specifically, this session will provide a brief overview of the most frequently-used computational methods in communication and media research, as... Read more »
This online 3-day (10/19, 10/22, and 10/23) course will offer an introduction to SPSS and will demonstrate how to work with data saved in SPSS format. It will demonstrate how to work with SPSS syntax, how to create your own SPSS data files, and how to convert data in other formats to SPSS. it will... Read more »
Dr. Kenneth Rice's research focuses primarily on developing and applying statistical methods for complex disease epidemiology, notably cardiovascular disease. He leads the Data Coordinating Center and Analysis Committee for the NHLBI's TOPMed project and is the PI of the associated U01 project (HL137162). He also chairs the Analysis Committee for the CHARGE consortium, a large... Read more »
This online 3-day (10/19, 10/22, and 10/23) course will offer an introduction to SPSS and will demonstrate how to work with data saved in SPSS format. It will demonstrate how to work with SPSS syntax, how to create your own SPSS data files, and how to convert data in other formats to SPSS. it will... Read more »
This online 3-day (10/19, 10/22, and 10/23) course will offer an introduction to SPSS and will demonstrate how to work with data saved in SPSS format. It will demonstrate how to work with SPSS syntax, how to create your own SPSS data files, and how to convert data in other formats to SPSS. it will... Read more »
Gillings Virtual Fall Student Success Seminar - Thrive: Revisiting (and Revising) Your 2020 Goals with Dr. Bahby Banks UNC Gillings Student Success Seminars focus on empowering all of our students... Read more »
Barbara E. Engelhardt, an associate professor, joined the Princeton Computer Science Department in 2014 from Duke University, where she had been an assistant professor in Biostatistics and Bioinformatics and Statistical... Read more »
This course will provide an introduction to survey research methods for designing multinational and multicultural surveys. It begins with an overview of the field of comparative surveys. This will summarize their history and discuss some unique design features and implementation challenges inherent in their design and implementation. The second section discusses quality and risk management... Read more »
Dr. Yingqi Zhao is the recipient of the UNC Biostatistics 2020 James. E. Grizzle Alumni Award. Dr. Zhao earned her PhD. in 2012. With the goal of improving patient outcomes,... Read more »
On Nov. 6 from 10:30 am - noon, presenter Joeseph Ibrahim, PhD, Alumni Distinguished Professor of Biostatistics, will speak on Bayesian sample size determination for a clinical trial in the... Read more »
Please join Director of Corporate and Foundation Relations Mary Beth Knight, PhD, and fellow faculty members to learn more about the process of seeking research and related funds from private... Read more »
The Public Health Student Leadership Association presents “Leadership in Public Health”. This virtual panel will feature six Gillings School of Global Public Health alumni from diverse backgrounds. Join them for a virtual discussion and Q&A session on Nov. 11 at 5:30 p.m. Panelists include: Dr. Vaughn Upshaw, Panel Moderator, Professor and Leadership in Practice Concentration... Read more »
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, association studies), data integration and feature selection methods for high dimensional data; currently integrative analysis of genomics, transcriptomics and metabolomics to help elucidate the complex... Read more »
