Recipient of the 2023 UConn Statistics Department Distinguished Alumna Award Perspectives from the Realm of Statistical Consulting Presented by Cristina Sison, PhD, Director and Senior Research Statistician, Biostatistics Unit, Office of Academic Affairs, Northwell Health Wednesday, Sep 20 2023 4:00 PM-5:00 PM ET AUST 110 Webex Meeting Link Borrowing from a rich and varied experience […]

Recipient of the 2023 UConn Statistics Department Distinguished Alumnus Award Nonparametric Estimation of Multivariate Copula using Empirical Bayes Method Presented by Professor Sujit K. Ghosh, Ph.D., Department of Statistics, North Carolina State University Wednesday, Sep 27 2023 4:00 PM-5:00 PM ET AUST 110 Webex Meeting Link In the field of finance, insurance, and system reliability, […]

**Virtual only** Learning the Ocean’s Microbial Ecology using Statistical Mixture Models Presented by Assistant Professor Sangwon Hyun, Department of Statistics, University of California, Santa Cruz Wednesday, Oct 4 2023 4:00 PM-5:00 PM ET **Virtual only** Webex Meeting Link Although microscopic, phytoplankton in the ocean are extremely important to all of life and are together responsible […]

Logistic regression is not just logistic regression: tales of statistical consulting in pharmacometrics Presented by James A. Rogers, PhD, Vice President of Statistics, Quantitative Sciences, Metrum Research Group DATE : Wednesday, Oct 11 2023 TIME : 4:00 PM-5:00 PM ET PLACE: AUST 110 Webex Meeting Link “Pharmacometrics” is a term that refers somewhat broadly and […]

“Testing high-dimensional covariate effects in the presence of covariate heterogeneity,” Presented by Liping Zhu, Institute Statistics of Big Data, Renmin University of China.

“Dynamic enrichment of Bayesian small sample, sequential, multiple assignment randomized trial (snSMART) design using natural history data: A case study from Duchenne muscular dystrophy,”
Presented by Satrajit Roychoudhury, Executive Director, Statistical Research and Innovation Group, Pfizer, Inc.

“Structured Shrinkage Priors,” presented by Maryclare Griffin, Assistant Professor, Department of Mathematics and Statistics, University of Massachusetts Amherst.

“A Shape Restricted Propensity Score Matching Method in Casual Inference,” Presented by Jing Qin, PhD, National Institute of Allergy and Infectious Diseases.

“Predictive Bayes Factors with an Application Model-Assisted Design,” Presented by Shouhao Zhou, Department of Public Health Services, Division of Biostatistics and Bioinformatics, Penn State Cancer Institute, Pennsylvania State University.