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 »

Causal Inference: A Gentle Introduction

Thurston Arthritis Research Center/UNC Center for Core Clinical Research Speaker Series Michael Hudgens, PhD Professor, Department of Biostatistics UNC-Chapel Hill Director of the Biostatistics Core of the UNC Center for... 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 »