International Academic Program Universidad Autónoma de Madrid David Rockefeller Center for Latin American Studies - Harvard University
 
  HC
Use of Data Science
for Healthcare
Use of Data Science for Healthcare
Use of Data Science for Healthcare
Use of Data Science for Healthcare
Use of Data Science for Healthcare
Inicio ACADEMIC ADVISORS GENERAL INFORMATION CONTACT
   
PROGRAM
DATE, LOCATION, FEE
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Subjects and Speakers

Each session’s topic seeks to promote an exchange of knowledge and experiences amongst participants, and to inspire new lines of research across borders.

The speakers are prestigious professors who have extensive teaching and research experience and whose work has been widely published in their respective fields. Sessions are structured around the presentation of articles, case studies, and work of the speakers themselves, presenting reviews of their work and the current state of issues involved.

*Sessions are conducted in English and require active participation of all attendees. Required readings are also in English. For more details or questions, write to: iap.symposia@uam.es

Use of Real World Data for Clinical Research
From Randomized Trials to Big Data


Sonia Hernandez-Diaz

Sonia Hernandez-Diaz
Professor, Department of Epidemiology
Harvard T.H. Chan School of Public Health


The Study of Diet and Health: Implications of Variation
in Diet / Applications of Nutritional Epidemiology in Latin America


Eduardo Villamor

Eduardo Villamor
Professor, Department of Epidemiology
University of Michigan School of Public Health


The New England Journal of Medicine: General Advice on Publications

Caren G. Solomons

Dr. Caren G. Solomons MD.
M.P.H Deputy Editor, New England Journal of Medicine, Associate Professor of Medicine
Harvard Medical School


Prediction Models and Data Mining of Healthcare Databases

Dr. E. Francis Cook

Dr. E. Francis Cook
Professor of Epidemiology, Department of Epidemiology
Harvard T.H. Chan School of Public Health


Building Regression Models


Brian Healy
Assistant Professor, Department of Biostatistics
Harvard T.H. Chan School of Public Health


Machine Learning for Clinical Research

Dr. Andrew L. Beam

Dr. Andrew L. Beam
Instructor in Biomedical Informatics, Department of Biomedical Informatics
Harvard Medical School


Ethical Guidelines and Practical Issues in Conducting Clinical Research with Big Data

Dr. Delia Wolf

Dr. Delia Wolf
Associate Dean, Regulatory Affairs & Research Compliance
Harvard T.H. Chan School of Public Health


Casual Inference from Healthcare Databases

Dr. Miguel Hernan

Dr. Miguel Hernan
Professor of Epidemiology, Department of Epidemiology
Harvard T.H. Chan School of Public Health






*Information is subject to change




 




Operating in collaboration with Sponsor

David Rockefeller Center for Latin American Studies - Harvard University Asisa


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