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'''Miguel Hernán''' is a Spanish-American epidemiologist. He is the Director of the CAUSALab and 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 Director of the CAUSALab and 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]].
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他是哈佛大学生物统计学和流行病学的 CAUSALab 和 Kolokotrones 教授的主任。陈公共卫生学院,哈佛-麻省理工学院健康科学与技术项目成员。
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Miguel Hernán is a Spanish-American epidemiologist. He is the Director of the CAUSALab and 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.
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Miguel Hernán is a Spanish-American epidemiologist.他是哈佛大学生物统计学和流行病学的 CAUSALab 和 Kolokotrones 教授的主任。陈公共卫生学院,哈佛-麻省理工学院健康科学与技术项目成员。
      
【终译】米盖尔 · 赫尔南是一名西班牙裔美国籍流行病学家。他是哈佛大学陈曾熙公共卫生学院生物统计和流行病学系的因果实验室的主任和Kolokotrones学者,并且是哈佛-麻省理工健康科学与技术项目的成员。
 
【终译】米盖尔 · 赫尔南是一名西班牙裔美国籍流行病学家。他是哈佛大学陈曾熙公共卫生学院生物统计和流行病学系的因果实验室的主任和Kolokotrones学者,并且是哈佛-麻省理工健康科学与技术项目的成员。
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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/2020/ Web of Science Highly Cited Researchers]</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.
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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 name=":0">[https://recognition.webofsciencegroup.com/awards/highly-cited/2020/ Web of Science Highly Cited Researchers]</ref> His free edX course ''Causal Diagrams''<ref name=":1">[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 name=":2">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.
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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.Web of Science Highly Cited Researchers His free edX course Causal Diagrams edX Causal Diagrams course has had over 50,000 registrations. His book Causal Inference: What If,Hernán MA, Robins JM (2020). Causal Inference: What If. Boca Raton: Chapman & Hall/CRC.'' co-authored with James Robins is also freely available online and widely used for the training of researchers.''
      
Hernán 进行研究,以了解什么可以改善人类健康。他与来自几个国家的合作者一起,设计了医疗保健数据库、流行病学研究和随机试验的分析。他是一位全球高引用研究者。科学网络高度引用的研究人员他的免费 edX 课程因果图解 edX 课程已经有超过50,000人注册。他的著作《因果推理: 如果会怎样》 ,hern á n MA,Robins JM (2020)。因果推断: 如果。Boca Raton: Chapman & Hall/CRC与詹姆斯 · 罗宾斯合著的书也可以在网上免费获取,并被广泛用于研究人员的培训。
 
Hernán 进行研究,以了解什么可以改善人类健康。他与来自几个国家的合作者一起,设计了医疗保健数据库、流行病学研究和随机试验的分析。他是一位全球高引用研究者。科学网络高度引用的研究人员他的免费 edX 课程因果图解 edX 课程已经有超过50,000人注册。他的著作《因果推理: 如果会怎样》 ,hern á n MA,Robins JM (2020)。因果推断: 如果。Boca Raton: Chapman & Hall/CRC与詹姆斯 · 罗宾斯合著的书也可以在网上免费获取,并被广泛用于研究人员的培训。
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【终译】赫尔曼进行了对学习如何改善人类健康的研究。他还与来自几个国家的合作者共同参与,设计了医疗保健数据库的分析、流行病学的研究与随机对照实验项目。他还是一名全球高引用学者,Web of Science 极高的引用了他的研究。他的免费课程《图解因果》已经有超过50000人进行了注册。他与詹姆斯罗宾斯合著的关于因果推理的著作:What if 可以在网上免费获取,并且被广泛用于对研究人员的培训。
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【终译】赫尔曼进行了对学习如何改善人类健康的研究。他还与来自几个国家的合作者共同参与,设计了医疗保健数据库的分析、流行病学的研究与随机对照实验项目。他还是一名全球高引用学者<ref name=":0" />,Web of Science 极高的引用了他的研究。他的免费课程《图解因果》<ref name=":1" />已经有超过50000人进行了注册。他与詹姆斯罗宾斯合著的关于因果推理的著作:''What if'' <ref name=":2" />可以在网上免费获取,并且被广泛用于对研究人员的培训。
    
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 a [[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 a [[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.
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*MERIT Award, [[National Institute of Allergy and Infectious Diseases]], U.S. National Institutes of Health, 2018
 
*MERIT Award, [[National Institute of Allergy and Infectious Diseases]], U.S. National Institutes of Health, 2018
 
*Fellow, [[American Statistical Association]], elected in 2019
 
*Fellow, [[American Statistical Association]], elected in 2019
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*Fellow, La Caixa Foundation, 1995-1997
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* Fellow, American Association for the Advancement of Science (AAAS), elected in 2012
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*MERIT Award, National Institute of Allergy and Infectious Diseases, U.S. National Institutes of Health, 2018
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*Fellow, American Statistical Association, elected in 2019
      
= = 荣誉和奖励 ==  
 
= = 荣誉和奖励 ==  
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*{{Cite web |url=https://www.hsph.harvard.edu/miguel-hernan|title=Harvard Faculty Website, Miguel Hernán|publisher=harvard.edu |accessdate=May 1, 2017}}
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*{{Cite web |url=https://scholar.google.com/citations?user=vGpPHEgAAAAJ&hl=en |title=Google Scholar, Miguel Hernán|publisher=[[Google Scholar]]|accessdate=April 25, 2020}}
    
==参考文献==
 
==参考文献==
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