Handling Selective and Imperfect Testing in Design and Inference of COVID-19 Studies

Research Overview

Dr. Bhramar Mukherjee (Biostatistics) and her team are developing mathematical models to predict the true infection rate and detect spikes, taking into account the limited and imperfect testing. Their model will also provide guidance to policymakers on how to allocate testing resources.

The MIDAS COVID-19 Propelling Original Data Science (PODS) grants were awarded on May 13th, 2020, each of the 7 teams received funding of up to $30,000 with projects starting immediately and expected to finish by the end of 2020. These projects demonstrate the resolve, expertise, and creativity of U-M data scientists facing a public health crisis. To learn more about the other projects please visit our COVID-19 PODS awards page.

Research Team

Bhramar Mukherjee, PhD, Biostatistics
Lauren Beesley, PhD Biostatistics
Jiacong Du, MS Biostatistics

https://midas.umich.edu/wp-content/uploads/sites/3/2020/06/light-rona.png