Epidemiologic Methods and Data Science: Stronger Together

Abstract: Epidemiologic methods often focus on a statistical model as the main step to getting “the” result. This talk will attempt to widen the perspective on epidemiologic methods. How do we develop and communicate our research plans in a team? How do the numbers from a regression model make it into a table in a manuscript? Practical examples will be shown how standard approaches from data science and free software packages can speed up our work in epidemiology and improve its reproducibility. As a corollary, epidemiology-minded data science might not just need to be a core component in the training of the next generation of epidemiologists, but can in turn also help teach epidemiologic methods.
Bio: Konrad Stopsack leads the Department of Epidemiological Methods and Etiological Research at the Leibniz Institute for Prevention Research and Epidemiology – BIPS in Bremen, Germany. His applied research focuses on molecular and cancer epidemiology. His methodologic and teaching interests include application and further development of epidemiologic methods to improve reproducibility, interpretability, and efficiency of epidemiologic studies.
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Konrad H. Stopsack, MD MPH
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Speakers will share their own perspectives; they do not speak for Harvard
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This activity has been planned and implemented in accordance with the accreditation requirements and policies of the Accreditation Council for Continuing Medical Education (ACCME) through the joint providership of The Harvard T.H. Chan School of Public Health and the Harvard Chan Education and Research Center. The Harvard T.H. Chan School of Public Health is accredited by the ACCME to provide continuing medical education for physicians.
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Each spring, the Center for Communicable Disease Dynamics hosts an annual seminar series, featuring talks from experts on the latest research in infectious disease epidemiology and modeling.
Speakers will share their own perspectives and do not speak for Harvard.
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Each spring, the Center for Communicable Disease Dynamics hosts an annual seminar series, featuring talks from experts on the latest research in infectious disease epidemiology and modeling.
Speakers will share their own perspectives and do not speak for Harvard.
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