UDOM: Presentation Invitation January,2018 | Angazetu.com

Tuesday, 16 January 2018

UDOM: Presentation Invitation January,2018

Presentation on, “Implementation Science and the Practice of Public Health: The Case of PEPFAR” by Donna Spiegelman.
Date:January 18th, 2018

Venue: LR 3, University of Dodoma, College of Natural and Mathematical Sciences
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Donna Spiegelman, Sc.D.
Professor of Epidemiologic Methods
Departments of Epidemiology, Biostatistics, Nutrition and Global Health
Harvard T.H. Chan School of Public Health

Prof Donna is one of the few people in the world with a joint doctorate in Biostatistics and Epidemiology. As a result, she can freely speak the languages of both disciplines, and switch between these two professional cultures, playing the role of interlocutor for either. 

Read also:>>>UDOM: Important Notice For Graduates (Transcripts),2017
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 is 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. 
They 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.
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