Miguel Hernán: Difference between revisions
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{{short description|Spanish-American epidemiologist}} |
{{short description|Spanish-American epidemiologist}} |
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'''Miguel Hernán''' is a Spanish-American epidemiologist |
'''Miguel Hernán''' is a Spanish-American epidemiologist. He is the Kolokotrones Professor of Biostatistics and Epidemiology<ref>[https://www.hsph.harvard.edu/miguel-hernan|title=Miguel Hernan, Kolokotrones Professor of Biostatistics and Epidemiology|publisher=harvard.edu |accessdate=May 1, 2017]</ref> at the [[Harvard T.H. Chan School of Public Health]] and Member of the Faculty at the [[Harvard–MIT Program in Health Sciences and Technology]]. |
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Hernán |
Hernán conducts research to learn what works to improve human health. Together with his collaborators from several countries, he designs analyses of healthcare databases, epidemiologic studies, and randomized trials. He is a Global Highly Cited Researcher.<ref>[https://recognition.webofsciencegroup.com/awards/highly-cited/2019/ Web of Science Highly Cited Researchers 2019]</ref> |
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His edX course “Causal Diagrams”<ref>[[edX Causal Diagrams course]],''[https://www.edx.org/course/causal-diagrams-draw-your-assumptions-before-your]'', retrieved April 24, 2020</ref> and his book “Causal Inference: What If”,<ref>[["Causal Inference: What If" book]],''[https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/]'', retrieved April 24, 2020</ref> co-authored with [[James Robins]], are freely available online and widely used for the training of researchers. |
His edX course “Causal Diagrams”<ref>[[edX Causal Diagrams course]],''[https://www.edx.org/course/causal-diagrams-draw-your-assumptions-before-your]'', retrieved April 24, 2020</ref> and his book “Causal Inference: What If”,<ref>[["Causal Inference: What If" book]],''[https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/]'', retrieved April 24, 2020</ref> co-authored with [[James Robins]], are freely available online and widely used for the training of researchers. |
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Hernán is an elected Fellow of the [[American Association for the Advancement of Science]] and of the [[American Statistical Association]], Editor Emeritus of [[Epidemiology (journal)]], and past Associate Editor of [[Biometrics (journal)]], [[American Journal of Epidemiology]], and the [[Journal of the American Statistical Association]]. He has served on several committees of the [[National Academies of Sciences, Engineering, and Medicine]] of the United States. |
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==Education== |
==Education== |
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*M.D., 1995, [[Universidad Autónoma de Madrid]], Spain |
*M.D., 1995, [[Universidad Autónoma de Madrid]], Spain |
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Revision as of 14:38, 16 November 2020
Miguel Hernán is a Spanish-American epidemiologist. He is the Kolokotrones Professor of Biostatistics and Epidemiology[1] at the Harvard T.H. Chan School of Public Health and Member of the Faculty at the Harvard–MIT Program in Health Sciences and Technology.
Hernán conducts research to learn what works to improve human health. Together with his collaborators from several countries, he designs analyses of healthcare databases, epidemiologic studies, and randomized trials. He is a Global Highly Cited Researcher.[2]
His edX course “Causal Diagrams”[3] and his book “Causal Inference: What If”,[4] co-authored with James Robins, are freely available online and widely used for the training of researchers.
Hernán is an elected Fellow of the American Association for the Advancement of Science and of the American Statistical Association, Editor Emeritus of Epidemiology (journal), and past Associate Editor of Biometrics (journal), American Journal of Epidemiology, and the Journal of the American Statistical Association. He has served on several committees of the National Academies of Sciences, Engineering, and Medicine of the United States.
Education
- M.D., 1995, Universidad Autónoma de Madrid, Spain
- M.P.H., 1996, Harvard University
- Sc.M. (Biostatistics), 1999, Harvard University
- Dr.P.H. (Epidemiology), 1999, Harvard University
External links
- "Miguel Hernan, Kolokotrones Professor of Biostatistics and Epidemiology". harvard.edu. Retrieved May 1, 2017.
- "Miguel Hernan, Kolokotrones Professor of Biostatistics and Epidemiology, Harvard University". Google Scholar. Retrieved April 25, 2020.
References
- ^ Hernan, Kolokotrones Professor of Biostatistics and Epidemiology|publisher=harvard.edu |accessdate=May 1, 2017
- ^ Web of Science Highly Cited Researchers 2019
- ^ edX Causal Diagrams course,[1], retrieved April 24, 2020
- ^ "Causal Inference: What If" book,[2], retrieved April 24, 2020
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