David C Hoaglin

David C. Hoaglin is a Professor at UMass Chan Medical School in the Department of Population and Quantitative Health Sciences. He holds additional appointments at the T.H. Chan School of Medicine (Division of Biostatistics And Health Services Research) and the Morningside Graduate School of Biomedical Sciences (Departments of Masters in Clinical Investigation and Population Health Sciences).

• Duke University: BS in Mathematics
• Princeton University: PhD in Statistics

Dr. Hoaglin's research primarily focuses on statistical methodology, with particular expertise in meta-analysis, biostatistics, and health services research. His work has significantly advanced the understanding and application of Q statistics, heterogeneity assessment in meta-analyses, and win statistics (including win ratio, win odds, and net benefit) for comparative effectiveness research. His contributions bridge theoretical statistical concepts with practical applications in medical research, particularly in clinical trial methodology and evidence synthesis.

Analysis of Dr. Hoaglin's recent publications (2021-2025) reveals a strong focus on methodological advancements in meta-analysis, particularly concerning win statistics and heterogeneity assessment. His work often addresses critical challenges in comparative effectiveness research, including appropriate statistical methods for time-to-event outcomes, handling of censoring, and validation of meta-analytic techniques. Many publications represent collaborations with researchers in biostatistics and medical fields, demonstrating the interdisciplinary nature of his work.

Dr. Hoaglin has made substantial contributions to statistical methodology through his publications, though specific awards are not detailed in the available information. His work has been cited extensively across various medical and statistical journals.

While specific details about his advising activities are not provided in the available information, Dr. Hoaglin's extensive publication record and methodological expertise suggest significant mentorship of students and junior researchers in statistical methodology. His work often involves methodological grants focused on advancing statistical techniques for medical research.

Though specific laboratory information is not provided, Dr. Hoaglin appears to be actively involved in collaborative research across multiple departments at UMass Chan Medical School, working with colleagues in biostatistics, clinical research, and various medical specialties to advance statistical methodology for health research applications.