Biostatistics Weekly Seminar

From measurement error to implementation science methods – Career errors or well-executed implementation?

Donna Spiegelman, ScD
Yale School of Medicine

I will provide an overview of my career trajectory, emphasizing the statistical developments that have arisen from it. During 27 years as the lead statistician for Harvard’s Nurses’ Health Study 2 and the Health Professionals Follow-up Study, my statistical research focused on the development of methods to correct for bias due to exposure measurement error, a principal limitation of questionnaire-based longitudinal epidemiologic cohort studies such as these. Along the way, many other interesting methodologic issues arose and were solved. I will provide a brief overview of some of these methods and some of the controversies still brewing around them. After becoming the first (and maybe only) statistician to receive the NIH Director’s Pioneer Award, a $2,500,000 direct cost 5 year grant awarded to “individual scientists of exceptional creativity, who propose pioneering, and possibly transforming, approaches to major challenges in biomedical and behavioral research,” I largely redirected my research efforts to the development and dissemination of quantitative methods for implementation science. I have become increasingly engaged in the direct application of findings from epidemiologic and clinical research to the improvement of public health, domestically and globally, leading to my recruitment to Yale as the inaugural director of the Center on Methods for Implementation and Prevention Science a year ago. Time permitting, I will briefly discuss what implementation science means to me, and some of the quantitative methods the development of which I am engaged.

MRBIII, Room 1220
18 September 2019

Speaker Itinerary

Topic revision: r3 - 12 Sep 2019, AndrewSpieker

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