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 skills and understanding necessary to collect text data from a variety of sources, including websites and APIs. Participants will gain practical skills for completing their own analyses using... Read more »
The Student Global Health Committee will be hosting its second Data Visualization Lunch and Learn with Lorin Bruckner from the UNC Research Hub. Come learn more about best practices in... Read more »
The Department of Biostatistics welcomes Dr. David Page for his talk "Probably Approximately Correct Causal Discovery." Dr. Page works on algorithms for data mining and machine learning, and their applications... Read more »
This 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 demonstrated. This is not a course on software, but rather a course on the concepts and uses of logistic regression. No registration required. More information
The focus of this course is on the design of web survey instruments, appropriate choice and design of input tools, address layout and formatting of the instrument, including alignment of questions and response options, typeface, background color, the design of grids or matrix questions, as well as the design implications of browser-based mobile web surveys.... Read more »
Dr. Chen of the SAS Institute in Raleigh will talk about the "Development of Bayesian Software in SAS." Dr. Chen manages the Advanced Statistical Methods group in SAS and is overseeing software development in mixed models, generalized linear mixed models, nonlinear random-effects models, causal inferences, survival analysis, Bayesian hierarchical models and discrete choice models.
This training will cover advanced features in building surveys in Qualtrics. Participants must already have a university Qualtrics account and solid working knowledge of Qualtrics. Some portions will be hands-on; others will be demonstration only. Please see course URL for topics to be covered.
Gillings is excited to host a panel discussion with local public health professionals who practice design thinking in their applied work. These professionals represent five different organizations, including RTI, Male... Read more »
The UNC School of Medicine, UNC Lineberger Comprehensive Cancer Center, UNC Gillings School of Global Public Health, and UNC Center for Health Equity Research are hosting the Inaugural Paul A. Godley Health Equity Symposium on March 5, 2020 to bring together faculty, staff, students, and the community to… Highlight and encourage health equity research; Promote collaboration and networking; and Encourage strategic planning and partnerships... Read more »
The Department of Biostatistics welcomes Dr. Lynn Lin, who will speak about Validation and Annotation for Single-Cell Data Clustering. A Duke University Alumni, her research interests include a range of related problems in Bayesian mixture model development for classification, variable selection, design and model selection, structured and hierarchical nonparametric Bayesian methods, rare event detection and... Read more »
This event is powered by Zoom. The Department of Biostatistics welcomes Dr. Whitney Robinson, who will shed light on biostatistical analysis in epidemiology, with special coverage of the current COVID-19... Read more »
Dr. Simon Mak will present "Function-on-function kriging, with applications to 3D-printing of aortic tissues" in this seminar hosted by Zoom. Dr. Mak's interests include (but not limited to) developing practical methodologies with theoretical guarantees for “big data” and “small data” analytics, both of which are important for solving real-world problems. This lecture will be streamed... Read more »
In this talk, Dr. Allison J.B. Chaney will describe nonparametric deconvolution models (NDMs), a family of Bayesian nonparametric models for collections of data in which each observation is the average over the features from heterogeneous particles. For example, these types of data are found in elections, where we observe precinct-level vote tallies (observations) of individual... Read more »
Dr. Feng-Chang Lin will present "Working as a biostatistician: My life in the North Carolina Translational and Clinical Science Institute (NC TraCS)." He is heavily engaged in collaborative research in biomedical fields. His primary area of research is in the development of novel statistical methods for modeling recurrent events that frequently appear in biomedical studies;... Read more »
Dr. Michael Love's talk, "Avoiding two pitfalls in data analysis of gene expression" will conclude the 2020 Biostatistics Spring Seminar series. Dr. Love's research concerns statistical and computational methods for the analysis of high-throughput sequencing assays to facilitate biomedical and biological research. He has developed a number of open-source software packages for the analysis of... Read more »
**Global Grads workshops focus on support for international graduate and professional students.** Are you graduating and applying for Optional Practical Training (OPT)? Please join Amanda Mills, assistant director for student and support services in International Student and Scholar Services, for an overview of the OPT program and a Q&A session. You must register for this... Read more »
