People from all walks of life rely on statistics and statistical analysis to make better decisions. Scientists use it to assess the effectiveness of drugs, politicians to develop policy, and company managers to create and improve products and services.
Significance explains how and why statistics helps in these and other areas of life, science and commerce.
Our articles are written by statisticians for anyone with an interest in the analysis and interpretation of data.
We challenge myths, provide a unique perspective on the stories of the day, and use statistics to answer society's most difficult questions.
Significance is an official magazine and website of both the Royal Statistical Society (RSS) and the American Statistical Association (ASA). Members can access the latest Significance content, plus back issues, through the RSS and ASA member portals. Please note that RSS members who are already logged into our site should just select "View your publications" from the drop down "MyRSS" menu (top right).
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Gianluca Baio (University College London)
Sheila Bird (MRC Biostatistics Unit)
Mario Cortina Borja (University College London)
Robert Matthews (Aston University)
Allen Reese (Independent consultant)
E Marian Scott (University of Glasgow)
Stephen Senn (Luxembourg Institute of Health)
Michael Wallace (University of Waterloo)
Joseph Blitzstein (Harvard University)
James Cochran (University of Alabama)
Marco Geraci (University of South Caroline)
Amanda Golbeck (University of Arkansas for Medical Sciences)
Qizhai Li (Academy of Mathematics and Systems Science, Chinese Academy of Sciences)
Alan Schwarz (New York, NY)
Susan Spruill (Applied Statistics and Consulting)
Kelly Zou (Pfizer)
Submit article ideas via email (firstname.lastname@example.org). Contributions must be original and not under consideration for publication elsewhere. However, we do accept articles based on published (or soon-to-be-published) scientific papers.
Further information for contributors can be found on the Significance website.
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Print ISSN: 1740-9705.
Online ISSN: 1740-9713
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