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'''Miguel Hernán''' is a Spanish-American epidemiologist. He is the Kolokotrones Professor of Biostatistics and Epidemiology 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]].
'''Miguel Hernán''' is a Spanish-American epidemiologist. He is the Kolokotrones Professor of Biostatistics and Epidemiology 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.<ref>[https://recognition.webofsciencegroup.com/awards/highly-cited/2019/ Web of Science Highly Cited Researchers 2019]</ref> 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.
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> His free edX course ''Causal Diagrams''<ref>[https://www.edx.org/course/causal-diagrams-draw-your-assumptions-before-your]edX Causal Diagrams course</ref> has had over 50,000 registrations. His book ''Causal Inference: What If'',<ref>Hernán MA, Robins JM (2020). ''Causal Inference: What If.'' Boca Raton: Chapman & Hall/CRC.[https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/]''</ref> co-authored with [[James Robins]] is also 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 been Special Government Employee of the U.S. [[Food and Drug Administration]] and has served on several committees of the [[National Academies of Sciences, Engineering, and Medicine]] of the United States.
Hernán is 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 been Special Government Employee of the U.S. [[Food and Drug Administration]] and has served on several committees of the [[National Academies of Sciences, Engineering, and Medicine]] of the United States.
==Education==
==Education==
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*Master of Science (Biostatistics), 1999, [[Harvard University]], USA
*Master of Science (Biostatistics), 1999, [[Harvard University]], USA
*Doctor of Public Health (Epidemiology), 1999, [[Harvard University]], USA
*Doctor of Public Health (Epidemiology), 1999, [[Harvard University]], USA

==Honors and awards==
* Fellow, [[La Caixa]] Foundation, 1995-1997
* Fellow, [[American Association for the Advancement of Science]] (AAAS), elected in 2012
* MERIT Award, [[National Institute of Allergy and Infectious Diseases]], U.S. National Institutes of Health, 2018
* Fellow, [[American Statistical Association]], elected in 2019

===Scientific articles===
* Runner-up to Best Research Report, Health Research Training Program, New York City Department of Health, 1994
* Kenneth Rothman Epidemiology Prize, [[Epidemiology (journal)]], 2005
* Top 10 Article of the Year,[[American Journal of Epidemiology]], 2014, 2015, 2016
* Award for Outstanding Research Article in Biosurveillance (Category: Impact on the field, 2nd prize), [[International Society for Disease Surveillance]], 2016

===Teaching and mentoring===
* Excellence in Teaching Citation, Harvard School of Public Health, 2005
* Mentoring Award, Harvard School of Public Health, 2011
* Outstanding Postdoctoral Mentor Award, [[Harvard T.H. Chan School of Public Health]], 2019


== External links ==
== External links ==
*{{Cite web |url=https://www.hsph.harvard.edu/miguel-hernan|title=Harvard Faculty Website, Miguel Hernan|publisher=harvard.edu |accessdate=May 1, 2017}}
*{{Cite web |url=https://www.hsph.harvard.edu/miguel-hernan|title=Harvard Faculty Website, Miguel Hernán|publisher=harvard.edu |accessdate=May 1, 2017}}
*{{Cite web |url=https://scholar.google.com/citations?user=vGpPHEgAAAAJ&hl=en |title=Google Scholar, Miguel Hernan|publisher=[[Google Scholar]]|accessdate=April 25, 2020}}
*{{Cite web |url=https://scholar.google.com/citations?user=vGpPHEgAAAAJ&hl=en |title=Google Scholar, Miguel Hernán|publisher=[[Google Scholar]]|accessdate=April 25, 2020}}


==References==
==References==

Revision as of 17:44, 22 November 2020

Miguel Hernán is a Spanish-American epidemiologist. He is the Kolokotrones Professor of Biostatistics and Epidemiology 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.[1] His free edX course Causal Diagrams[2] has had over 50,000 registrations. His book Causal Inference: What If,[3] co-authored with James Robins is also freely available online and widely used for the training of researchers.

Hernán is 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 been Special Government Employee of the U.S. Food and Drug Administration and has served on several committees of the National Academies of Sciences, Engineering, and Medicine of the United States.

Education

Honors and awards

Scientific articles

Teaching and mentoring

  • Excellence in Teaching Citation, Harvard School of Public Health, 2005
  • Mentoring Award, Harvard School of Public Health, 2011
  • Outstanding Postdoctoral Mentor Award, Harvard T.H. Chan School of Public Health, 2019
  • "Harvard Faculty Website, Miguel Hernán". harvard.edu. Retrieved May 1, 2017.
  • "Google Scholar, Miguel Hernán". Google Scholar. Retrieved April 25, 2020.

References

  1. ^ Web of Science Highly Cited Researchers 2019
  2. ^ [1]edX Causal Diagrams course
  3. ^ Hernán MA, Robins JM (2020). Causal Inference: What If. Boca Raton: Chapman & Hall/CRC.[2]


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