Exploring the Impact of Structural Racism on Health: A Conversation About Race, Place and Preventing Violence Mighty Fine, MPH, CHES Director, Center for Public Health Practice & Professional Development at... Read more »
This is a 3-part short course (held over three afternoons – 1/27, 1/28, 1/30). Stata part 1 will offer an introduction to Stata basics. Part 2 will teach entering data... Read more »
This 2-day (1/29 & 1/31) course equips students to design, conduct, and critique mixed-method research. From a pragmatic perspective, we will explore the strengths and weaknesses of a variety of... Read more »
This 3-day (2/3, 2/5, and 2/6) course will offer an introduction to SPSS and will demonstrate how to work with data saved in SPSS format. It will demonstrate how to... Read more »
This 3-day (2/3, 2/5, and 2/6) course will offer an introduction to SPSS and will demonstrate how to work with data saved in SPSS format. It will demonstrate how to... Read more »
The Department of Biostatistics welcomes Dr. Emery Brown, Professor in Institute for Medical Engineering and Science at MIT. Professor Brown is an anesthesiologist-statistician whose experimental research has made important contributions to understanding how anesthetics act in the brain to create the states of general anesthesia. In his statistics research, he has developed signal processing algorithms... Read more »
This 3-day (2/3, 2/5, and 2/6) course will offer an introduction to SPSS and will demonstrate how to work with data saved in SPSS format. It will demonstrate how to... Read more »
Usability testing allows in-depth evaluation of how respondents and interviewers interact with questionnaires, particularly web and mobile surveys. Not all design guidelines work equally well for all surveys and all... Read more »
Come see students display their research and entrepreneurship endeavors! The event will feature online and residential student posters. Two $100 gift cards will be presented! There will be free food... Read more »
Single-cell RNA-Seq(scRNA-seq) is the most widely used high-throughput technology to measure genome-wide gene expression at the single-cell level. However, single-cell data present unique challenges that have required the development of... Read more »
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.
