More (single-cell) data, more (statistical) problems

Blue Cross and Blue Shield Auditorium (0001 Michael Hooker Research Center) Michael Hooker Research Center, Chapel Hill, NC, United States

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 Using R

Room 219 Davis Library 208 Raleigh St., Chapel Hill, NC, United States

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... Read more »

Data Visualization Lunch and Learn

2305 McGavran-Greenberg Hall McGavran-Greenberg Hall, Chapel Hill, NC, United States

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 »

Probably Approximately Correct Causal Discovery

Blue Cross and Blue Shield Auditorium (0001 Michael Hooker Research Center) Michael Hooker Research Center, Chapel Hill, NC, United States

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 »

Logisitic Regression

Room 219 Davis Library 208 Raleigh St., Chapel Hill, NC, United States

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.... Read more »

Designing Web Surveys

Room 219 Davis Library 208 Raleigh St., Chapel Hill, NC, United States

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... Read more »

Development of Bayesian Software in SAS

Blue Cross and Blue Shield Auditorium (0001 Michael Hooker Research Center) Michael Hooker Research Center, Chapel Hill, NC, United States

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.

Advanced Topics in Qualtrics

Room 219 Davis Library 208 Raleigh St., Chapel Hill, NC, United States

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;... Read more »

Design for Health

2301 McGavran-Greenberg Hall McGavran-Greenberg Hall, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

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 »

Paul A. Godley Health Equity Symposium

G100 Bondurant Hall 321 South Columbia St, Chapel Hill, NC, United States

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... Read more »

Validation and Annotation for Single-Cell Data Clustering

Blue Cross and Blue Shield Auditorium (0001 Michael Hooker Research Center) Michael Hooker Research Center, Chapel Hill, NC, United States

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 »

“Not that kind of epidemiologist”: The value of social and chronic disease epidemiology in data science

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 outbreak. Dr. Robinson's research explores why various sociodemographic groups (by gender, ethnicity, state of residence, sexual orientation, etc.) experience greater burdens of non-communicable diseases than... Read more »

Function-on-function kriging, with applications to 3D-printing of aortic tissues

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 »

Nonparametric Deconvolution Models

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 »

Working as a biostatistician: my life in the North Carolina Translational and Clinical Science Institute (NC TraCS)

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 »