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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 »

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 »

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 »

Estimation and inference on individualized treatment rule in observational data

Dr. Yingqi Zhao is the recipient of the UNC Biostatistics 2020 James. E. Grizzle Alumni Award. Dr. Zhao earned her PhD. in 2012. With the goal of improving patient outcomes, her work focuses on developing novel statistical and machine learning methods for personalized medicine, dynamic treatment regimes, disease screening and surveillance, clinical trial design, and... 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 presence of historical data that inform the treatment effect. He will discuss a broadly applicable, simulation-based methodology that provides a framework for calibrating the informativeness... 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... Read more »