Gillings Career Services Virtual Summer Series

“Don't Quarantine Your Career: Log In & Learn” series Join UNC's Gillings School Career Services office for their “Don't Quarantine Your Career: Log In & Learn” weekly career series to help recent graduates and alumni survive COVID-19 and come out victorious. We’ll be sharing expert advice, straight talk, alumni personal stories and ideas, along with... Read more »

Gillings Career Services Virtual Summer Series

“Don't Quarantine Your Career: Log In & Learn” series Join UNC's Gillings School Career Services office for their “Don't Quarantine Your Career: Log In & Learn” weekly career series to help recent graduates and alumni survive COVID-19 and come out victorious. We’ll be sharing expert advice, straight talk, alumni personal stories and ideas, along with... Read more »

Gillings Career Services Virtual Summer Series

“Don't Quarantine Your Career: Log In & Learn” series Join UNC's Gillings School Career Services office for their “Don't Quarantine Your Career: Log In & Learn” weekly career series to help recent graduates and alumni survive COVID-19 and come out victorious. We’ll be sharing expert advice, straight talk, alumni personal stories and ideas, along with... Read more »

Gillings Career Services Virtual Summer Series

“Don't Quarantine Your Career: Log In & Learn” series Join UNC's Gillings School Career Services office for their “Don't Quarantine Your Career: Log In & Learn” weekly career series to help recent graduates and alumni survive COVID-19 and come out victorious. We’ll be sharing expert advice, straight talk, alumni personal stories and ideas, along with... Read more »

Gillings Career Services Virtual Summer Series

“Don't Quarantine Your Career: Log In & Learn” series Join UNC's Gillings School Career Services office for their “Don't Quarantine Your Career: Log In & Learn” weekly career series to help recent graduates and alumni survive COVID-19 and come out victorious. We’ll be sharing expert advice, straight talk, alumni personal stories and ideas, along with... Read more »

Gillings Career Services Virtual Summer Series

“Don't Quarantine Your Career: Log In & Learn” series Join UNC's Gillings School Career Services office for their “Don't Quarantine Your Career: Log In & Learn” weekly career series to help recent graduates and alumni survive COVID-19 and come out victorious. We’ll be sharing expert advice, straight talk, alumni personal stories and ideas, along with... Read more »

Gillings Career Services Virtual Summer Series

“Don't Quarantine Your Career: Log In & Learn” series Join UNC's Gillings School Career Services office for their “Don't Quarantine Your Career: Log In & Learn” weekly career series to help recent graduates and alumni survive COVID-19 and come out victorious. We’ll be sharing expert advice, straight talk, alumni personal stories and ideas, along with... Read more »

Gillings Career Services Virtual Summer Series

“Don't Quarantine Your Career: Log In & Learn” series Join UNC's Gillings School Career Services office for their “Don't Quarantine Your Career: Log In & Learn” weekly career series to help recent graduates and alumni survive COVID-19 and come out victorious. We’ll be sharing expert advice, straight talk, alumni personal stories and ideas, along with... Read more »

Statistical Considerations in the Design and Analysis of SARS-CoV-2 Prevalence Studies

Presenters: Michael Hudgens, PhD, professor, Department of Biostatistics Bonnie Shook-Sa, DrPH, postdoctoral research associate, Department of Biostatistics SARS-CoV-2 PCR and serology tests are critical tools for identifying COVID-19 infections, modeling transmission dynamics, estimating mortality rates and guiding policy surrounding re-opening efforts. There are a number of statistical considerations regarding the use of these tests and... Read more »

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 – 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... 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 »

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 »

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 »

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 a virtual discussion and Q&A session on Nov. 11 at 5:30 p.m. Panelists include: Dr. Vaughn Upshaw, Panel Moderator, Professor and Leadership in Practice Concentration... Read more »

Joint Nonlinear Association and Prediction of Multi-view Data

Dr. Sandra Safo's research interests are in developing statistical methods and computational tools to help identify risk factors for complex diseases: multivariate statistical methods, statistical learning (including classification, discriminant analysis, association studies), data integration and feature selection methods for high dimensional data; currently integrative analysis of genomics, transcriptomics and metabolomics to help elucidate the complex... 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 demonstrated. This is not a course on software, but rather a course on the concepts and uses of logistic regression. Registration required. For more information,... Read more »

Data-Adaptive Regression Modeling in High Dimensions

Dr. Ashley Petersen's research focuses on developing methods in the area of statistical learning, and in building flexible and interpretable data-adaptive models that are useful in modern settings with large numbers of covariates. She develops methods for the analysis of calcium imaging data. As a member of the Biostatistics and Bioinformatics Core of the Masonic... 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 research during a pandemic, a discussion regarding the intersection of public health, mental health, and racial equity, and breakout rooms where you can learn about... Read more »

It is Never too Early to Think About Statistical Leadership

Dr. Richard Zink spent 17 years in and around medical product development at a real-world data company (Target RWE) where he led data management and statistics in the analysis and reporting of data derived from electronic medical records; a software company (SAS Institute) where he developed and supported platforms to analyze and visualize safety and... 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 »