Biostatistics Events

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 »

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 »

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 »

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 »

We are welcoming Dr. Saul, who will talk about "Functional programming for high-functioning statisticians." At NoviSci in Durham, Dr. Saul leads the statistics team and oversees the development of research software. Contact anneli@unc.edu with questions. View the flyer.

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 »