William Rosenberger

William F. Rosenberger is a Distinguished University Professor at George Mason University. He received his PhD in mathematical statistics from George Washington University in 1992 and since then has spent much of his career developing statistical methodology for randomized clinical trials. He has two books on the subject, Randomization in Clinical Trials: Theory and Practice (Wiley, 2002), which won the Association of American Publishers Award for the best mathematics/statistics book published that year, and has recently been issued in a second edition (Wiley, 2016); and The Theory of Response-Adaptive Randomization in Clinical Trials (Wiley, 2006). He is a Fellow of the American Statistical Association (2005) and of the Institute of Mathematical Statistics (2011).

An author of over 100 refereed papers, Prof. Rosenberger was named the 2012 Outstanding Research Faculty by the Volgenau School of Engineering, George Mason University, where he also served as Chairman of their Department of Statistics for 13 years, hiring 16 faculty and developing programs at the BS, MS and PhD levels. In 2014, he received a prestigious Fulbright scholarship to support his sabbatical at RWTH Aachen University in Germany. That same year he was promoted to the rank of University Professor (Distinguished University Professor, 2023), which is reserved for “eminent” individuals on the faculty “of great national or international reputation.” Only 32 out of 1400 faculty at George Mason have this distinction. In 2017 he was named the 15th Armitage Lecturer at the University of Cambridge, UK. He was elected the North American Editor of the tier-1 biostatistical methodology journal Biometrics, for 2021-2024.

He has supervised 20 doctoral students who are now leaders in academia, industry, and government. Sponsored Research Projects: 2022—2023 Prospective Change in Preclinical MRI Markers of ADRD Risk and Brain Aging by Race, Socioeconomic Status, and Sex National Institute of Aging Principal Investigator, Subcontract to UMBC 2022 – 2027 HEAL: Multimodal Imaging Biomarkers for Investigating Fascia, Muscle and Vasculature in Myofascial Pain National Center for Complementary and Integrative Health Co-Investigator.

Degrees

• PhD, Mathematical Statistics, George Washington University

Research

2009 - 2015: HANDLS Scan Substudy: Race, Socioeconomic Status, and the Brain. Funded by the University of Maryland.

2010 - 2015: Pathogenesis and Pathophysiological Mechanisms of Myofascial Tigger Points. Funded by the National Institutes of Health.

2010 - 2013 : ARRA: Statistical Methods in Cancer Research. Funded by the National Institutes of Health.

Research Interests

• Biopharmaceutical statistics
• Design and analysis of clinical trials
• Randomization
• Sequential design and analysis