Annals of Applied Statistics

Annals of Applied Statistics
Title	Annals of Applied Statistics
Discipline	Statistics
Abbreviation	Ann. Appl. Stat.
Publisher	Institute of Mathematical Statistics
Country	United States
Frequency	Quarterly
History	2007–present
Openaccess	Hybrid
Issn	1932-6157

Annals of Applied Statistics Annals of Applied Statistics is a peer-reviewed scholarly journal publishing research at the intersection of statistical methodology and substantive applications. Established in 2007 under the aegis of the Institute of Mathematical Statistics, the journal has featured contributions from researchers affiliated with institutions such as Harvard University, Stanford University, University of Cambridge, University of Oxford, and Princeton University. Contributions often connect to substantive projects associated with organizations like National Institutes of Health, National Science Foundation, World Health Organization, European Commission, and United Nations.

History

The journal was launched during a period of rapid expansion in applied quantitative research, following initiatives by the Institute of Mathematical Statistics and contemporaneous developments at publishers such as American Statistical Association, Royal Statistical Society, Springer Science+Business Media, Elsevier, and Wiley-Blackwell. Founding editors and early editorial board members included scholars linked to Johns Hopkins University, Massachusetts Institute of Technology, Yale University, University of Chicago, and Columbia University. Early volumes featured work connected to projects funded by agencies like Defense Advanced Research Projects Agency and collaborations with centers such as Broad Institute and Sanger Institute.

Scope and topics

The journal emphasizes methodological advances motivated by applications in fields including biomedical research with investigators at National Cancer Institute, Centers for Disease Control and Prevention, and Dana-Farber Cancer Institute; environmental science connected to National Oceanic and Atmospheric Administration and Environmental Protection Agency; social science projects involving scholars from London School of Economics, University of California, Berkeley, and New York University; and engineering collaborations with teams at California Institute of Technology and ETH Zurich. Typical topics include statistical modeling that engages with datasets from Human Genome Project, Framingham Heart Study, Census Bureau, World Bank, and large-scale initiatives like UK Biobank. Methodological areas often intersect with work from laboratories such as Los Alamos National Laboratory, Argonne National Laboratory, and industry groups including Google Research, Microsoft Research, and IBM Research.

Publication and editorial process

Manuscripts undergo peer review coordinated by an editorial office associated with the Institute of Mathematical Statistics. The editorial workflow parallels procedures used by journals such as Journal of the American Statistical Association, Biometrika, Journal of the Royal Statistical Society, Annals of Statistics, and Statistics in Medicine. Editorial decisions frequently involve external referees from institutions like Brown University, University of Pennsylvania, University of Michigan, Duke University, and Cornell University. The journal accepts submissions that report reproducible analyses connected to data sources such as GenBank, Protein Data Bank, and repositories curated by Dryad Digital Repository and Zenodo.

Impact and reception

Articles published in the journal have influenced practice and policy in arenas associated with Food and Drug Administration, European Medicines Agency, National Institute for Health and Care Excellence, World Trade Organization, and international consortia like Global Alliance for Genomics and Health. Citation patterns link work from the journal to research outputs in venues such as Nature Methods, Science, Proceedings of the National Academy of Sciences, The Lancet, and New England Journal of Medicine. The journal's influence is noted by awards and recognitions given by organizations such as the Royal Society, National Academy of Sciences, American Association for the Advancement of Science, and field-specific prizes administered by the Institute of Mathematical Statistics and the American Statistical Association.

Notable articles and special issues

Special issues and influential articles have focused on topics tied to large projects and events including analyses relevant to COVID-19 pandemic, genomic studies stemming from the Human Microbiome Project, climate-related investigations linked to the Intergovernmental Panel on Climate Change, and transportation studies related to high-profile infrastructures like Crossrail and High Speed 2. Notable contributions have been authored by scholars affiliated with Salk Institute for Biological Studies, Max Planck Society, Wellcome Trust Sanger Institute, Karolinska Institutet, and Institut Pasteur. The journal has also published thematic collections addressing methods for high-dimensional data, causal inference with applications in trials overseen by International Committee of Medical Journal Editors, and reproducible workflows advocated by groups such as the Center for Open Science.

Abstracting and indexing

The journal is indexed in major bibliographic services and databases including Web of Science, Scopus, MathSciNet, Zentralblatt MATH, and PubMed/MEDLINE. Library services and aggregators listing the title include JSTOR, ProQuest, EBSCOhost, Google Scholar, and catalogs maintained by institutions such as the Library of Congress and British Library. Metrics and impact measures are reported through platforms operated by Clarivate, Elsevier, and analytics services used by research offices at University of California campuses, University of Toronto, and Australian Research Council.

Category:Statistics journals