Truncated Latent Gaussian Copula Model for Zero-Inflated Data Dr. Gaynanova’s research focuses on the development of statistical methods to address the challenges associated with the analysis of modern high-dimensional biomedical... Read more »
Dr. Ramdas' main theoretical and methodological research interests include selective and simultaneous inference, sequential uncertainty quantification, and distribution-free black-box predictive inference. His areas of applied interest include neuroscience, genetics and... Read more »
The Department of Biostatistics welcomes the remote visit of Dr. Jonathan Schildcrout, vice chair for research, biostatistics at Vanderbilt University Medical Center. Dr. Schildcrout's main research interests are in longitudinal... Read more »
We are welcoming Dr. Simon, who will talk about "Reframing proportional-hazards modeling for large time-to-event datasets with applications to deep learning." Dr. Simon works on machine learning (including penalized regression... Read more »
We are welcoming Dr. Saul, who will talk about "Functional programming for high-functioning statisticians." At NoviSci in Durham, Dr. Saul leads the statistics team and oversees the development of research... Read more »
In this talk we will discuss statistical challenges and opportunities with joint analysis of electronic health records and genomic data through " Genome and Phenome-Wide Association Studies (GWAS and PheWAS)".... Read more »
This is an online 3-part short course (held over three afternoons – October 6, 7 and 8, 2020). Stata Part 1 will offer an introduction to Stata basics. Part 2... Read more »
This is an online 3-part short course (held over three afternoons – October 6, 7 and 8, 2020). Stata Part 1 will offer an introduction to Stata basics. Part 2... Read more »
The Department of Biostatistics will host Dr. Stephens, a statistician and data scientist who has made seminal contributions to the practice and applications of statistics in genetics. The seminar is... Read more »
This is an online 3-part short course (held over three afternoons – October 6, 7 and 8, 2020). Stata Part 1 will offer an introduction to Stata basics. Part 2... Read more »
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... Read more »
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... 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... 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... 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... 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... 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... 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 to succeed in navigating the university environment. We plan the seminars with the overall goal of equipping students to achieve their academic and personal goals... 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 »
