Statistical thinking for 21st century scientists | Zendy

David R. Cox | Zendy; Bradley Efron | Zendy

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Statistical thinking for 21st century scientists

Author(s) -

David R. Cox,

Bradley Efron

Publication year - 2017

Publication title -

science advances

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 5.928

H-Index - 146

ISSN - 2375-2548

DOI - 10.1126/sciadv.1700768

Subject(s) - statistical inference , inference , data science , computer science , statistical thinking , management science , epistemology , psychology , artificial intelligence , mathematics education , mathematics , statistics , philosophy , economics

Statistical science provides a wide range of concepts and methods for studying situations subject to unexplained variability. Such considerations enter fields ranging from particle physics and astrophysics to genetics, sociology and economics, and beyond; to associated areas of application such as engineering, agriculture, and medicine, in particular in clinical trials. Successful application hinges on absorption of statistical thinking into the subject matter and, hence, depends strongly on the field in question and on the individual investigators. It is the job of theoretical statisticians both to be alive to the challenges of specific applications and, at the same time, to develop methods and concepts that, with good fortune, will be broadly applicable.

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