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Collaborative Core Center for Clinical Research Speaker Series – Statistical Methods to Machine Learning: Methods for Learning from Data

The Collaborative Core Center for Clinical Research is hosting a speaker series that highlights methodological work being conducted by researchers across the National Institute of Arthritis and Musculoskeletal and Skin Diseases-funded P30 Core Centers for Clinical Research, with application to rheumatic and musculoskeletal conditions. Jamie Collins, PhD, is an assistant professor of orthopedic surgery at... Read more »

Biostatistics Seminar: Truncated Latent Gaussian Copula Model for Zero-Inflated Data

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 data. Her main methodological interests are in the areas of statistical learning with sparsity, multivariate analysis and data integration. Her main application interests are in... Read more »

Biostatistics Seminar – Online Multiple Hypothesis Testing

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 voting. He is one of the organizers of the amazing and diverse StatML Group at Carnegie Mellon University: http://statml.cs.cmu.edu/people.html Flyer Zoom link Password to event:... Read more »

Biostatistics Seminar: Efficient Epidemiological Study Designs for Quantitative, Multivariate Longitudinal Data

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 data studies, such as correlated and longitudinal data analyses, epidemiological study design with longitudinal data, and statistical analyses of medical informatics data. Please visit his... Read more »

Biostatistics Seminar: Reframing Proportional-Hazards Modeling for Large Time-to-Event Datasets with Applications to Deep Learning

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 and classification), efficient algorithms in high dimensional spaces, shrinkage estimation and clinical trial design. The techniques he develops are directed at problems in biology and... Read more »

Biostatistics Webinar: Handling Sampling and Selection Bias in Association Studies Embedded in Electronic Health Records

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)". Presenter: Bhramar Mukherjee, PhD, John D. Kalbfleisch Collegiate Professor and Chair, Dept. of Biostatistics; Professor, Dept. of Epidemiology; Professor, Global Public Health, University of Michigan... Read more »

Online Stata Three-Part Short Course: Part 1

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 will teach entering data in Stata, working with Stata do files, and will show how to append, sort and merge data sets. Part 3 will... Read more »

Online Stata Three-Part Short Course: Part 2

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 will teach entering data in Stata, working with Stata do files, and will show how to append, sort and merge data sets. Part 3 will... Read more »

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Biostatistics Seminar: Adventures in Sparsity and Shrinkage with the Normal Means Model

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 titled Adventures in Sparsity and Shrinkage with the Normal Means Model. His research interests include analysis of population structure, analysis of genetic association studies (including... Read more »

Online Stata Three-Part Short Course: Part 3

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 will teach entering data in Stata, working with Stata do files, and will show how to append, sort and merge data sets. Part 3 will... Read more »

Event Series Text Analysis Using R

Text Analysis Using R

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 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... Read more »

Event Series Text Analysis Using R

Text Analysis Using R

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 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... Read more »

Biostatistics Seminar – Statistical Frameworks for Mapping 3D Shape Variation onto Genotypic and Phenotypic Variation

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 place on the Forbes 30 Under 30 list, The Root 100 Most Influential African Americans list, and recognition as an Alfred P. Sloan Research Fellow.... Read more »

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 »

Event Series Three-day SPSS Course

Three-day SPSS Course

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 to work with SPSS syntax, how to create your own SPSS data files, and how to convert data in other formats to SPSS. it will... 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 »

Event Series Three-day SPSS Course

Three-day SPSS Course

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 to work with SPSS syntax, how to create your own SPSS data files, and how to convert data in other formats to SPSS. it will... Read more »

Event Series Three-day SPSS Course

Three-day SPSS Course

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 to work with SPSS syntax, how to create your own SPSS data files, and how to convert data in other formats to SPSS. it will... Read more »

Thrive: Revisiting (and Revising) Your 2020 Goals with Dr. Bahby Banks

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 »

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 »

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 »

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Navigating Challenging Student Situations Webinar

Supporting students in difficult situations can be confusing, challenging and time-consuming.  Our students face a variety of issues that are complex. We want to make sure you have the resources... Read more »

Spring PHield Trip to RTI

Explore public health in action! Join the virtual PHield trip with RTI International on Feb. 18 from 1-3:00 p.m. The event will feature a keynote on mobilizing global public health... Read more »

Statistical methods for single-cell and spatial RNA-seq

Dr. Christina Kendziorski's research concerns statistical methods and software for computational biology and genomics. Her group develops statistical methods and software for the analysis of data from high-throughput genomics experiments and have considerable expertise in the experimental design and analysis of bulk RNA-seq studies and in single-cell RNA-seq. The group also uses high-throughput data from... Read more »

Synthesizing evidence about harms in systematic reviews

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

Dr. Evan Mayo-Wilson is an epidemiologist with training and experience in intervention design, evaluation and translation of clinical evidence into policy and practice. His research focuses on evaluating the effectiveness of pharmacological and behavioral interventions; improving methods for clinical trials and systematic review; and developing methods and interventions to increase research tran11sparency and openness. View... Read more »

Semblie: Introduction and New Feature Demo

Join the NC TraCS Institute for a live training session for Semblie, a free platform for developing digital health interventions. Semblie was designed with the needs of public health researchers... Read more »

Machine Learning Tools & Precision Medicine in Arthritis & Autoimmunity

Machine learning analysis methods offer the opportunity to integrate and learn from large amounts of biological, clinical, and environmental data. During this session, clinicians and researchers will discuss examples of how machine learning tools have been applied in arthritis and autoimmune disease. This session will feature an overview of machine learning and its application to... Read more »

Machine Learning Tools & Precision Medicine in Clinical Research

Machine learning analysis methods offer the opportunity to integrate and learn from large amounts of biological, clinical, and environmental data. During this session, clinicians and researchers will explore the use of machine learning tools and precision medicine techniques in clinical research. This session will feature an overview of machine learning tools in the field of... Read more »

Canvas Challenge Summer 2022

The Canvas Challenge is a multi-module, guided-paced course available fully online on Canvas for Gillings’ teaching faculty. The Challenge affords instructors a collaborative space to refine their pedagogical practices with... Read more »

New NIH Data Management & Sharing Policy Info Session

This session will cover the scope and requirements of NIH’s new Data Management and Sharing (DMS) Policy that goes into effect on January 25, 2023. Supplementary NIH guidance on the DMS plans required in proposals, data repository selection and allowable costs in proposal budgets will also be reviewed. Some resources and tools to help researchers... Read more »

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National Health Equity Research Webcast – Environmental Justice: The Science, the People, the Politics

Save the date for the 28th National Health Equity Research Webcast, “Environmental Justice: The Science, the People, the Politics.” September 16, 2022, 3-4:30 p.m. Free registration opening soon. Subscribe to their newsletter to get updates about registration, panelists, and NHERW events. The archive of the 27th webcast, “This is U.S.: Dissent, Denial, and the Health of Populations,” is available... Read more »