Computational Methods for Analyzing Big Data in the Social Sciences

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 »

Biostatistics Seminar – Knowing the signs: simpler ways to think about p-values, and much else

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 »

Discovering how complex traits are regulated using unsupervised learning

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 Sciences. Her research interests are Machine learning, Bayesian statistics, statistical genetics, computational biology, quantitative genetics and she received an Alfred P. Sloan Research Fellowship, 2016.... Read more »

Conducting Cross Cultural Surveys Short Course

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... Read more »

Estimation and inference on individualized treatment rule in observational data

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, her work focuses on developing novel statistical and machine learning methods for personalized medicine, dynamic treatment regimes, disease screening and surveillance, clinical trial design, and... Read more »

Bayesian Clinical Trial Design

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 »

Leadership in Public Health Alumni Panel

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... Read more »

Odum Institute Short Course — 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... Read more »