Annals of Applied Statistics

Scope & Guideline

Transforming Data into Knowledge Through Rigorous Analysis

Introduction

Welcome to the Annals of Applied Statistics information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of Annals of Applied Statistics, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN1932-6157
PublisherINST MATHEMATICAL STATISTICS-IMS
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2008 to 2024
AbbreviationANN APPL STAT / Ann. Appl. Stat.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address3163 SOMERSET DR, CLEVELAND, OH 44122

Aims and Scopes

The Annals of Applied Statistics focuses on the development and application of statistical methods to analyze complex data across various fields. The journal emphasizes innovative methodologies, practical applications, and interdisciplinary approaches.
  1. Statistical Methodology Development:
    The journal publishes papers that introduce new statistical techniques, particularly those addressing complex data structures such as high-dimensional, longitudinal, and survival data.
  2. Applications in Health and Biomedical Research:
    A significant portion of the journal's output is dedicated to statistical applications in health sciences, including epidemiology, clinical trials, and public health, showcasing the importance of statistics in addressing health-related questions.
  3. Bayesian Methods and Machine Learning:
    The journal features contributions that apply Bayesian methods and machine learning techniques to improve data analysis, model fitting, and inference in various research areas.
  4. Environmental and Ecological Statistics:
    Research focusing on statistical applications in environmental science, ecology, and climate studies is prevalent, reflecting the journal's commitment to addressing pressing global issues through statistical lenses.
  5. Social Science Applications:
    The journal also includes studies that apply statistical methods to social sciences, demonstrating the versatility of statistical techniques in understanding societal phenomena.
Recent trends in the journal reveal a shift towards innovative methodologies and applications that respond to contemporary challenges in data analysis.
  1. Integration of Machine Learning with Traditional Statistics:
    There is a growing trend towards integrating machine learning techniques with traditional statistical methods, enhancing model performance and accuracy in various applications.
  2. Focus on Causal Inference:
    The emergence of papers emphasizing causal inference methodologies highlights a significant trend in the journal, reflecting the increasing importance of understanding causal relationships in observational data.
  3. High-Dimensional Data Analysis:
    The journal is witnessing an uptick in research addressing high-dimensional data challenges, particularly in genomics and health data, as researchers seek to extract meaningful insights from complex datasets.
  4. Applications in Public Health and Epidemiology Post-COVID-19:
    The COVID-19 pandemic has spurred a surge in research focusing on public health statistics, with methodologies aimed at understanding and combating infectious diseases gaining prominence.
  5. Spatial and Spatiotemporal Modeling:
    There is a notable increase in the application of spatial and spatiotemporal statistical models, particularly in environmental studies and epidemiological research, reflecting the growing interest in these areas.

Declining or Waning

While the Annals of Applied Statistics continues to thrive in many areas, there are certain themes that appear to be declining in frequency or prominence in recent publications.
  1. Traditional Frequentist Approaches:
    There seems to be a noticeable decrease in the number of papers employing traditional frequentist statistical methods, as newer methodologies, particularly Bayesian and machine learning approaches, gain traction.
  2. Basic Descriptive Statistics:
    Papers focusing solely on descriptive statistics without advanced analytical methods are becoming less common, reflecting an increased expectation for more complex and impactful analyses.
  3. Simple Linear Regression Models:
    The application of straightforward linear regression models is waning, with researchers favoring more intricate models that account for complexities in data.

Similar Journals

Korean Journal of Applied Statistics

Bridging Theory and Practice in Statistical Research
Publisher: KOREAN STATISTICAL SOCISSN: 1225-066XFrequency: 6 issues/year

Korean Journal of Applied Statistics, published by the Korean Statistical Society, is a prominent journal dedicated to advancing the field of applied statistics. ISSN 1225-066X (Print) and E-ISSN 2383-5818 (Online), this journal serves as a vital platform for disseminating high-quality research that addresses the latest methodologies, applications, and innovations in statistical practices. Though currently not an open-access journal, it aims to foster collaboration among statisticians, researchers, and practitioners by providing rigorous peer-reviewed articles that enhance understanding and application of statistical techniques across various disciplines. With a commitment to integrating theory and practice, the Korean Journal of Applied Statistics stands as a crucial resource for those seeking to influence the evolving landscape of statistical research and its applications in Korea and beyond.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Exploring the Frontiers of Statistical Methodology
Publisher: OXFORD UNIV PRESSISSN: 1369-7412Frequency: 5 issues/year

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, published by OXFORD UNIVERSITY PRESS, is a leading academic journal dedicated to advancing the field of statistical methodology. With a distinguished Q1 ranking in both Statistics and Probability and Statistics, Probability and Uncertainty as of 2023, this journal stands at the forefront of statistical research, serving as a vital resource for researchers, professionals, and students alike. The journal has been committed to fostering innovative statistical techniques and methodologies since its inception in 1997, covering a wide scope of topics that push the boundaries of statistical applications in various disciplines. Based in the United Kingdom, the journal maintains its reputation through rigorous peer-review practices and high-quality content, making it an indispensable platform for those looking to disseminate their findings and engage with current trends in statistical science. Although the journal does not offer open access, the impact and scholarly significance of its articles remain profoundly influential in shaping contemporary statistical discourse.

STATISTICS IN MEDICINE

Elevating biomedical research through rigorous statistical dialogue.
Publisher: WILEYISSN: 0277-6715Frequency: 30 issues/year

Statistics in Medicine, published by Wiley, is a prestigious journal dedicated to the advancement of statistical methods and their application in biomedical research. Established in 1982, this journal has become a cornerstone in the fields of Epidemiology and Statistics and Probability, demonstrating its importance by consistently achieving a Q1 ranking in the 2023 category quartiles. With an impressive ISSN of 0277-6715 and an E-ISSN of 1097-0258, it serves as a vital platform for disseminating high-quality research that enhances evidence-based medicine. Although the journal does not currently offer open access, it remains highly regarded, holding a Scopus rank of #66 in Mathematics and #80 in Medicine, indicating its significant impact on the academic community. By publishing cutting-edge research, Statistics in Medicine aims to bridge the gap between statistical theory and practical application in health domains, fostering a rigorous dialogue among researchers, clinicians, and statisticians alike.

Metron-International Journal of Statistics

Bridging theory and practice in the realm of statistics.
Publisher: SPRINGER-VERLAG ITALIA SRLISSN: 0026-1424Frequency: 3 issues/year

Metron-International Journal of Statistics is a prestigious peer-reviewed journal published by SPRINGER-VERLAG ITALIA SRL, dedicated to advancing the field of statistics and probability. With an ISSN of 0026-1424 and an E-ISSN of 2281-695X, this journal has been a vital platform for scholarly research since its inception in 1973, showcasing works that redefine methodologies and applications within the field. Positioning itself in Q3 of the 2023 statistics category quartiles, Metron aims to foster dialogue and innovation among researchers and practitioners. Although currently not an open-access publication, it provides invaluable insights that contribute significantly to the statistical community's body of knowledge. Serving a diverse global audience, the journal encourages submissions that address both theoretical frameworks and practical applications in statistics, promising to enhance the rigor and relevance of statistical practice. Based in Milan, Italy, Metron continues to uphold its commitment to excellence in statistical research through thorough peer review and a focus on impactful findings.

BIOMETRICAL JOURNAL

Empowering researchers with high-impact statistical insights.
Publisher: WILEYISSN: 0323-3847Frequency: 6 issues/year

BIOMETRICAL JOURNAL is a prestigious academic publication dedicated to advancing the fields of Medicine and Statistics. Published by WILEY since its inception in 1977, this journal plays a critical role in disseminating cutting-edge research and methodologies that bridge the gap between statistical theory and real-world medical applications. With an impressive Q1 ranking in both Medicine (miscellaneous) and Statistics, Probability and Uncertainty, it is recognized for its high-impact contributions to the scientific community. The journal actively encourages submissions that utilize innovative statistical techniques to address complex biomedical issues, making it an essential resource for researchers, professionals, and students aiming to enhance their understanding of quantitative approaches in health and medicine. Although the journal is not open access, its rigorous peer-review process guarantees the quality and relevance of published works, further establishing its significance in the academic landscape.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY

Empowering Research at the Intersection of Statistics and Society
Publisher: OXFORD UNIV PRESSISSN: 0964-1998Frequency: 4 issues/year

Journal of the Royal Statistical Society Series A - Statistics in Society is a premier academic journal published by Oxford University Press, dedicated to advancing the understanding and application of statistical methods in the context of social issues. With an ISSN of 0964-1998 and an E-ISSN of 1467-985X, this journal has consistently been recognized for its high-quality contributions, reflected in its prestigious impact factors and quartile rankings. As of 2023, it holds a Q1 status in Social Sciences (miscellaneous) and notable Q2 rankings in Economics and Econometrics, as well as in Statistics and Probability, illustrating its influence and authority in the relevant fields. Researchers and professionals engaging with this journal can expect rigorous peer-reviewed articles, innovative methodologies, and comprehensive discussions that address contemporary statistical challenges within society. While currently not offering Open Access, the journal is committed to disseminating knowledge that enhances understanding of the interplay between statistics and social dynamics. Spanning from 1988 to 2024, the Journal of the Royal Statistical Society Series A remains a crucial resource for scholars looking to explore the vital intersection of statistical theory and societal applications.

Stats

Fostering collaboration in the evolving landscape of statistics.
Publisher: MDPIISSN: Frequency:

Stats, published by MDPI, serves as an invaluable open access platform dedicated to the fields of statistics and probability. Since its inception in 2018, the journal has been committed to disseminating high-quality research and promoting innovation in statistical methodologies through a rigorous peer-review process. Operating from Basel, Switzerland, Stats offers a global reach and aims to foster collaboration among researchers, professionals, and graduate students alike. With an impact factor indicating its emerging significance, the journal resides in the Q4 quartile of the statistics and probability category for 2023 according to Scopus rankings. This positions it within the evolving landscape of statistical research, enhancing its visibility and accessibility. Researchers are encouraged to contribute to this dynamic field and benefit from the journal's dedication to open access publishing, ensuring that research findings can reach a broad audience without barriers.

Journal of Statistical Planning and Inference

Exploring the Frontiers of Statistical Inference
Publisher: ELSEVIERISSN: 0378-3758Frequency: 12 issues/year

The Journal of Statistical Planning and Inference, published by ELSEVIER, stands as a significant platform within the fields of applied mathematics and statistics. With a history of rigorous scholarship since its inception in 1977, this journal provides a vital forum for researchers to share their advancements in statistical methodologies, planning, and inference techniques. As of 2023, it holds a respectable impact factor reflected in its Q2 rankings across multiple categories, including Applied Mathematics and Statistics and Probability, showcasing its influence and relevance in academic discourse. The journal is indexed in Scopus, with commendable rankings that affirm its scholarly merit, making it vital for professionals and students seeking the latest developments and research trends in statistical sciences. With a commitment to high-quality publications aimed at fostering innovation and practical solutions in statistical applications, the Journal of Statistical Planning and Inference is essential for anyone involved in empirical research and data-driven decision-making.

STATISTICA SINICA

Elevating Research in Statistics and Probability
Publisher: STATISTICA SINICAISSN: 1017-0405Frequency: 4 issues/year

STATISTICA SINICA, published by the esteemed STATISTICA SINICA organization, stands as a premier journal in the fields of Statistics and Probability, boasting a significant impact within the academic community. With an ISSN of 1017-0405 and E-ISSN of 1996-8507, this journal has evolved from its inception in 1996, continuing to publish cutting-edge research through 2024. As recognized by its recent categorization in Q1 quartiles in both Statistics and Probability and Statistics, Probability and Uncertainty for 2023, it ranks among the top journals in its discipline, meriting attention from researchers and practitioners alike. Despite lacking open access options, it delivers rigorous, peer-reviewed articles that contribute to the advancement of statistical science. With its base in Taiwan, and a dedicated editorial team located at the Institute of Statistical Science, Academia Sinica, Taipei, STATISTICA SINICA continues to be a vital resource for statisticians, data scientists, and related professionals seeking innovative methodologies and insights within this dynamic field.

Electronic Journal of Statistics

Innovative Research for a Data-Driven World
Publisher: INST MATHEMATICAL STATISTICS-IMSISSN: 1935-7524Frequency:

Electronic Journal of Statistics, published by INST MATHEMATICAL STATISTICS-IMS, is a premier open-access platform dedicated to the field of statistics and probability, with a remarkable track record since its inception in 2007. With an ISSN of 1935-7524, this journal has quickly established itself as a leading resource within the top Q1 category in both Statistics and Probability, as well as Statistics, Probability and Uncertainty, highlighting its significance and impact in the academic community. The journal’s commitment to disseminating high-quality research allows researchers, professionals, and students to access valuable findings and methodologies that contribute to the advancement of statistical sciences. With its convergence set to continue until 2024, the Electronic Journal of Statistics remains a vital source for scholars looking to enrich their knowledge and engage with cutting-edge statistical theories and applications.