Donna Spiegelman, ScD

Susan Dwight Bliss Professor of Biostatistics; Director, Center for Methods in Implementation and Prevention Science (CMIPS); Director, Interdisciplinary Research Methods Core, Center for Interdisciplinary Research on AIDS; Assistant Cancer Center Director, Global Oncology, Yale Cancer Center
Donna Spiegelman
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Appointments

Biography

Donna Spiegelman was appointed the Susan Dwight Bliss Professor of Biostatistics at the Yale School of Public Health in 2018. As one of the few people in the world with a joint doctorate in biostatistics and epidemiology, she can freely speak the languages of both disciplines and switch between these two professional cultures, playing the role of interlocutor for either. Her research is motivated by problems which arise in epidemiology and require biostatistical solutions. In particular, but by no means exclusively, she has focused on methods for study design and data analysis which reduce bias in estimation and inference due to measurement error or misclassification in the exposure variable. She has extensive experience in troubleshooting and solving methodological issues that arise in longitudinal investigations, in clinical trials, and in large scale public health effectiveness evaluations. 

Dr. Spiegelman, formerly at the Harvard T.H. Chan School of Public Health, had a dynamic role as a professor, mentor, and an expert statistician. She was the recipient of the NIH Director’s Pioneer Award and  recently the recipient of the CAWF (Committee on the Advancement of Women Faculty) Mentoring Award.

Education & Training

  • ScD
    Harvard School of Public Health, Biostatistics and Epidemiology (1989)

Activities

  • Measurement Errors in Cancer Epidemiology
    Jerusalem, Israel (2010-2011)
    As cancer epidemiology studies incorporate sophisticated new techniques for exposure measurement, sound statistical approaches to risk estimation and modeling will become increasingly important. The long-term objective of this research is to improve the understanding of cancer etiology and prevention through the investigation and application of statistical methods for measurement error corrections.
  • Measurement Errors in Environmental Epidemiology
    Amsterdam, Netherlands; Jerusalem, Israel (2009-2013)
    Exposure measurement error is a likely source of bias in nearly all environmental and epidemiological studies, typically leading to under-estimation of relative risks and loss of statistical power to detect effects. In the previous cycle of this project, the regression calibration method for adjustment for measurement error in multivariate regression models was extended, including Cox models and logistic models, to accommodate the study designs and data structures encountered in the environmental epidemiology. The study will focus on issues of air pollution epidemiology- in particular the chronic effects of particulate exposure to all NO2 on all-cause mortality, cardio-vascular mortality, and lung cancer mortality.
  • Therapeutic Ultrasound: Biophysical Mechanisms at the Molecular Level
    Jerusalem, Israel (2006-2008)
    In the last decades, low intensity therapeutic ultrasound (TUS) has shown to have a significant effect on cells (modulation of NO production in vivo), tissue (modulation of vessel wall permeability) and organs (angiogenesis or bone healing). To the best of our knowledge, there is no consensus on how TUS effects cells, tissue and organs. This goal of this study is to focus on cells in general and the cytoplasm with the cytoskeleton (CSK) in particular to shed light on how TUS may affect intracellular mechanics.

Honors & Recognition

AwardAwarding OrganizationDate
Candidate for the Charles C. Shepard Science AwardCDC and ATSDR2008
FellowAmerican Statistical Association2001
Teaching CitationHarvard School of Public Health1996

Departments & Organizations