Journal of the American Statistical Association

Journal of the American Statistical Association
source
Title	Journal of the American Statistical Association
Discipline	Statistics
Abbreviation	JASA
Publisher	American Statistical Association
Country	United States
History	1888–present
Frequency	Monthly

Journal of the American Statistical Association is a peer-reviewed periodical published by the American Statistical Association that disseminates research in statistical theory, methodology, and applications. It serves as a central venue for scholars associated with institutions such as Harvard University, Stanford University, University of California, Berkeley, Princeton University, and Massachusetts Institute of Technology. Contributors and readers often include members of organizations like Census Bureau (United States), National Institutes of Health, United States Geological Survey, World Health Organization, and European Space Agency.

History

The journal was founded during the late 19th century alongside advances at institutions including Johns Hopkins University, Columbia University, and Yale University, paralleling developments involving figures connected to Smithsonian Institution collections and United States Patent Office statistics. Early editors corresponded with statisticians affiliated with London School of Economics, University of Cambridge, and University of Oxford, and were contemporaneous with work by researchers at Bureau of Labor Statistics and Royal Statistical Society. Throughout the 20th century the journal intersected with movements at Bell Laboratories, AT&T, General Electric, International Biometric Society, and initiatives linked to National Academy of Sciences commissions. In the postwar era, contributors were associated with projects at RAND Corporation, Brookings Institution, Carnegie Mellon University, University of Chicago, and Columbia University’s Mailman School of Public Health, reflecting ties to policy inquiries such as those handled by Office of Management and Budget and National Science Foundation. The late 20th and early 21st centuries saw cross-disciplinary collaborations with researchers from NASA, Centers for Disease Control and Prevention, Food and Drug Administration, World Bank, and International Monetary Fund.

Scope and content

The journal publishes articles spanning theoretical advances related to methodologies developed in contexts like laboratories at Los Alamos National Laboratory, computational work at Lawrence Berkeley National Laboratory and Argonne National Laboratory, and applied studies from agencies like Environmental Protection Agency, United States Geological Survey, and National Oceanic and Atmospheric Administration. Authors often hold appointments at universities such as University of Michigan, University of California, Los Angeles, University of Washington, Columbia University, and University of Pennsylvania, and collaborate with professionals from Johns Hopkins Bloomberg School of Public Health, Yale School of Public Health, Imperial College London, McGill University, and University of Toronto. The journal’s topics include estimation influenced by methods from teams at Bell Labs and IBM Research, computational algorithms inspired by work at Google, Microsoft Research, and Facebook AI Research, and applications in fields represented by American Medical Association, American Economic Association, Association for Computing Machinery, Institute of Electrical and Electronics Engineers, and Society for Industrial and Applied Mathematics.

Publication and editorial practices

Publication follows peer review workflows similar to processes at Nature (journal), Science (journal), Proceedings of the National Academy of Sciences, Annals of Statistics, and Biometrika. Editorial boards have included academics affiliated with Cornell University, Brown University, Duke University, Rice University, and Vanderbilt University and sometimes liaise with committees at National Institutes of Health, National Science Foundation, and Office of Naval Research. The journal coordinates special sections and invited symposia resembling arrangements seen at Institute of Mathematical Statistics conferences and collaborates with societies such as American Association for the Advancement of Science and Royal Statistical Society. Submissions undergo statistical review comparable to standards at Journal of the Royal Statistical Society, Series B, Technometrics, and Statistical Science.

Impact and reception

JASA is frequently cited alongside journals like Annals of Statistics, Biometrika, Journal of the Royal Statistical Society, Statistical Science, and Econometrica in evaluations by departments at Princeton University, Harvard University, Stanford University, University of Chicago, and Columbia University. It has influenced applied research in epidemiology practiced at Centers for Disease Control and Prevention, econometrics work associated with National Bureau of Economic Research, environmental modeling used by Environmental Protection Agency, and climate studies involving Intergovernmental Panel on Climate Change. Recognition of articles appears in awards conferred by institutions such as American Statistical Association sections, Royal Statistical Society prizes, and honors related to National Academy of Sciences memberships.

Notable articles and contributions

The journal has published landmark papers that intersect with developments by figures and groups at Bell Laboratories, IBM Research, AT&T, NBER, and RAND Corporation, and that have been applied in contexts involving World Health Organization initiatives, Food and Drug Administration regulatory science, and United States Census Bureau methodology. Influential contributions have informed techniques used by researchers at Harvard Medical School, Johns Hopkins University School of Medicine, Mayo Clinic, Cleveland Clinic, and Memorial Sloan Kettering Cancer Center. The journal’s methodological advances resonate with computational frameworks from Google DeepMind, OpenAI, Microsoft Research, and algorithmic work developed at Massachusetts Institute of Technology Lincoln Laboratory.

Indexing and abstracting

JASA is indexed in major bibliographic services and citation databases including those maintained by Clarivate Analytics, Elsevier (company), and National Library of Medicine. Libraries that catalog the journal include Library of Congress, British Library, Bibliothèque nationale de France, and university systems at Harvard University, Yale University, University of California, and University of Toronto. Abstracting and indexing support aligns with standards used by databases associated with WorldCat, Scopus, Web of Science, and subject repositories connected to arXiv and institutional archives of Princeton University and Stanford University.

Category:Statistics journals