Professor of Epidemiologic Methods
For the Fall 1 semester for 2015, Dr. Spiegelman is teaching Epi 515 titled “Measurement Error and Misclassfication Epidemiology.” This class will be co-taught with Dr. Molin Wang, with assistance from TA Sarah Peskoe. Please click here for more information.
Current Post Doctoral Fellow Opening:
Dr. Spiegelman is actively searching for a post doctoral fellow to join her group. This position will work in collaboration with Dr. Spiegelman and her colleagues in the Departments of Epidemiology, Biostatistics, Nutrition, Global Health and Health Policy and Management. If interested, please visit here for the full job description as well as steps to apply.
August 2015 – Dr. Archana Shrestha completed her PhD in Epidemiology from the University of Washington. Her dissertation was focused on exploring dietary patterns and their association with Type II diabetes and obesity in urban Nepal. She am interested in developing, testing, and implementing preventive interventions to reduce the impact of global diabetes and cardiovascular disease epidemics in low and middle-income countries. She is currently working on a worksite-based diabetes and cardiovascular disease prevention program in India contributing to study design, project management, data analysis, and manuscript development under the supervision of Dr. Donna Spiegelman, Professor of Epidemiologic Methods in the Departments of Epidemiology, Biostatistics, Nutrition and Global Health. The project is in collaboration with Emory University and the Public Health Foundation of India, Delhi (PHFI). The context of the research is an ongoing global effort to prevent diabetes and cardiovascular disease through primary prevention, including dietary and activity changes. Apart from indulging in data, she likes to swim, dance, paint, and walk.
July 2015 – Dr. Claudia Rivera joined Dr. Spiegelman’s team after completing her PhD in Biostatistics at the University of Auckland in New Zealand under the supervisor of Dr. Thomas Lumley. In her dissertation, she focused on applying survey-sampling methods to improve efficiency of proportional hazard models under two phase sampling designs induced by risk-set samples. The methods make use of information on the entire cohort. She is also interested in efficiency of estimators when the sampling mechanism is not independent such as risk-set sampling designs.
Currently, Claudia works as a postdoctoral fellow at the Harvard T.H. School of Public Health in the departments of Epidemiology and Biostatistics. She is investigating methods that yield better estimates under two-phase sampling designs when the auxiliary information is only marginal. Claudia is a vegan and runner that loves sustainability programs. She likes traveling (especially Asia) and getting to know other cultures and people.
May 26, 2015 – Spiegelman & colleagues’ work strengthens the causal evidence for the health effects of chronic exposure to air pollution by eliminating uncertainty due to exposure measurement error
October 6, 2014 – Donna Spiegelman has received a Director’s Pioneer Award from the National Institutes of Health (NIH) for $500,000/year of direct costs for the next 5 years.
Read more in News.
I am one of the few people in the world with a joint doctorate in Biostatistics and Epidemiology. As a result, I can freely speak the languages of both disciplines, and switch between these two professional cultures, playing the role of interlocutor for either. My research is motivated by problems which arise in epidemiology and require biostatistical solutions. In particular but by no means exclusively, I have 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. I am currently completing an extensive project of methods development and re- and new analysis of several major studies of the effects of long-term exposure to constituents of air pollution on the risk of overall, cardiovascular and lung cancer mortality, collaborating with epidemiologists, statisticians and environmental scientists in the Netherlands, Israel, and the University of Washington in Seattle. The goal is to substantially reduce, if not eliminate, exposure measurement error as a major source of bias in the available results to date, and involves solving challenging mathematical and computational problems in the realm of survival data analysis. We will soon be publishing revised estimates of the health impact of exposure to air pollution constituents in the Netherlands and in the U.S., adjusted for bias due to measurement error.
My website is one of the most visited at the Harvard Chan School, because it contains much user-friendly and well-documented freeware implementing non-standard methods useful in epidemiologic research (see software). I am the statistician for the Nurses’ Health Study 2, the Health Professionals Follow-Up Study, and the Harvard PEPFAR greater Dar es Salaam site, and a multitude of spawn of these efforts.
My most recent interest has been to work actively with others in Epidemiology, Nutrition, Environmental Health, and Global Health and Population, to greatly increase global public health efforts at the Harvard Chan School. In particular, I am interested in developing, testing and implementing public health oriented preventive interventions for achieving Millennium Development Goals 4 & 5, to complement health systems strengthening efforts of great interest currently; developing, testing, and implementing preventive interventions to abate the global diabetes and cardiovascular disease epidemics; and developing new methodology to better evaluate the individual and population-level impact of efforts in Sub-Saharan Africa to end the AIDs epidemic through prevention. Expertise in the methodology of project monitoring and evaluation, and for randomized and observational implementation science endeavors, are a critical specific contribution that I bring to the table in these endeavors. For example, in the area of diabetes prevention, I provide leadership to a large group of researchers throughout the world as part of the Global Nutrition and Epidemiologic Transition Initiative.