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'''Miguel Hernán''' is a Spanish-American epidemiologist, currently the Kolokotrones Professor of Biostatistics and Epidemiology at [[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, currently the Kolokotrones Professor of Biostatistics and Epidemiology at [[Harvard T.H. Chan School of Public Health]] and Member of the Faculty at the [[Harvard–MIT Program in Health Sciences and Technology]].


Hernan 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 is a Global Highly Cited Researcher.<ref>[https://recognition.webofsciencegroup.com/awards/highly-cited/2019/ Web of Science Highly Cited Researchers 2019]</ref>
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 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.
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.

Revision as of 08:43, 7 August 2020

Miguel Hernán is a Spanish-American epidemiologist, currently the Kolokotrones Professor of Biostatistics and Epidemiology at Harvard T.H. Chan School of Public Health and Member of the Faculty at the Harvard–MIT Program in Health Sciences and Technology.

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 is a Global Highly Cited Researcher.[1]

His edX course “Causal Diagrams”[2] and his book “Causal Inference: What If”,[3] co-authored with James Robins, are freely available online and widely used for the training of researchers.

Education

  • "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