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 »

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 »

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 »