STATISTICS IN MEDICINE

Scope & Guideline

Pioneering statistical methods for impactful medical insights.

Introduction

Immerse yourself in the scholarly insights of STATISTICS IN MEDICINE with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN0277-6715
PublisherWILEY
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1982 to 2024
AbbreviationSTAT MED / Stat. Med.
Frequency30 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address111 RIVER ST, HOBOKEN 07030-5774, NJ

Aims and Scopes

Statistics in Medicine focuses on the development, application, and evaluation of statistical methodologies in the medical field, with a particular emphasis on clinical trials, epidemiology, and health outcomes research.
  1. Statistical Methodologies in Clinical Trials:
    The journal emphasizes innovative statistical approaches for the design and analysis of clinical trials, including adaptive designs, Bayesian methods, and hybrid designs that integrate real-world data.
  2. Epidemiological Studies and Health Outcomes Research:
    It covers statistical methods for observational studies, including causal inference techniques, survival analysis, and modeling of time-to-event data to assess health outcomes.
  3. Biostatistics and Machine Learning Integration:
    The integration of machine learning techniques with traditional statistical methods is a key focus, exploring how these approaches can enhance predictive modeling and treatment effect estimation.
  4. Longitudinal and Multivariate Data Analysis:
    A core area involves developing methods for analyzing longitudinal and multivariate data, particularly in the context of complex disease processes and treatment effects.
  5. Missing Data and Censoring Techniques:
    The journal addresses statistical challenges related to missing data and censoring, proposing novel imputation methods and models to ensure robust inference.
  6. Biomarker and Genomic Data Analysis:
    There is a significant emphasis on statistical methods for analyzing biomarker and genomic data, particularly in relation to personalized medicine and treatment optimization.
Recent publications in Statistics in Medicine highlight several emerging trends that reflect the evolving landscape of statistical methodologies in medical research.
  1. Adaptive Trial Designs:
    There is an increasing focus on adaptive trial designs, which allow for modifications based on interim results, enhancing efficiency and ethical considerations in clinical research.
  2. Causal Inference Techniques:
    Emerging methodologies in causal inference, including the use of instrumental variables and targeted maximum likelihood estimation, are gaining prominence as researchers seek to better understand treatment effects.
  3. Integration of Machine Learning:
    The application of machine learning techniques in clinical trial analysis and epidemiological studies is on the rise, driving advancements in predictive modeling and personalized medicine.
  4. Handling of Missing Data:
    Innovative approaches to address missing data, such as multiple imputation and sensitivity analysis techniques, are becoming increasingly important as datasets grow in complexity.
  5. Real-World Evidence and Data Integration:
    The integration of real-world evidence into clinical trial designs and analyses is a growing trend, reflecting the need for more applicable and generalizable research findings.
  6. Multistate Models and Complex Data Structures:
    There is a noticeable increase in the use of multistate models and methods for analyzing complex data structures, which are essential for understanding disease progression and treatment outcomes.

Declining or Waning

While the journal remains robust in its focus on contemporary statistical methodologies, certain themes appear to be declining in prominence based on recent publications.
  1. Traditional Frequentist Methods:
    There has been a noticeable shift towards Bayesian approaches and machine learning, indicating a waning interest in traditional frequentist methods, which were more prevalent in earlier years.
  2. Simple Statistical Models:
    The journal has seen a decrease in publications focusing on simplistic statistical models, as more complex and adaptive modeling techniques gain traction in the analysis of health data.
  3. Basic Descriptive Statistics:
    There is a diminishing emphasis on basic descriptive statistics and inferential methods, with a trend towards advanced modeling techniques that account for complexities in health outcomes.

Similar Journals

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS

Advancing Practical Solutions Through Statistical Innovation
Publisher: OXFORD UNIV PRESSISSN: 0035-9254Frequency: 5 issues/year

The JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C - APPLIED STATISTICS, published by the Oxford University Press, serves as a critical platform for disseminating innovative research within the field of applied statistics. With its ISSN 0035-9254 and E-ISSN 1467-9876, this journal provides a comprehensive resource for statisticians and practitioners alike, focusing on the development and application of statistical methodologies to real-world problems. As of 2023, it is ranked in the Q2 quartile within both the Statistics and Probability categories, reflecting its significant contribution to the discipline as evidenced by its Scopus ranking. Although it does not offer open access, the journal maintains a rigorous peer-review process and publishes issues regularly, with coverage extending from 1981 to 2024. By focusing on practical applications of statistical methods, the journal aims to bridge the gap between theory and application, making it an essential read for researchers, professionals, and students who are keen on advancing their understanding of statistics in various domains.

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.

Statistics in Biosciences

Advancing Statistical Insights in Biosciences
Publisher: SPRINGERISSN: 1867-1764Frequency: 3 issues/year

Statistics in Biosciences is a distinguished journal published by Springer, focusing on the innovative interplay between statistical methodologies and biosciences. Established in 2009, this journal aims to provide a platform for the dissemination of cutting-edge research in statistical applications within biochemistry, genetics, and molecular biology. With an impressive impact factor and a distinguished ranking in multiple categories, including Q2 in Biochemistry, Genetics and Molecular Biology (miscellaneous) and Q3 in Statistics and Probability, it serves as a crucial resource for researchers, professionals, and students seeking to deepen their understanding of statistical applications in biological contexts. The journal is accessible through traditional subscription models, ensuring that high-quality research remains available to a wide audience. Featuring contributions that advance statistical theory and application in the biosciences, Statistics in Biosciences is committed to fostering collaboration and innovation in a rapidly evolving scientific landscape.

STATISTICAL PAPERS

Fostering Innovation in Statistical Discourse
Publisher: SPRINGERISSN: 0932-5026Frequency: 4 issues/year

STATISTICAL PAPERS, published by Springer, is a leading journal in the field of Statistics and Probability that has been contributing to the academic community since 1988. With an impressive track record spanning over three decades, this journal falls within the prestigious Q2 quartile in both the Statistics and Probability and Statistics, Probability and Uncertainty categories, signifying its high-quality research output. It currently ranks #92 out of 278 in the Mathematics - Statistics and Probability category and #61 out of 168 in Decision Sciences - Statistics, Probability and Uncertainty, placing it in the 67th and 63rd percentiles respectively. Although the journal is not open access, it offers a vital platform for researchers, professionals, and students seeking to disseminate their findings and stay abreast of the latest advancements in statistical methods and applications. With its commitment to the highest standards of scholarship, STATISTICAL PAPERS plays a crucial role in shaping contemporary statistical discourse and fostering innovation within the field.

BIOMETRICS

Driving Innovation in Biochemistry and Applied Mathematics
Publisher: WILEYISSN: 0006-341XFrequency: 4 issues/year

BIOMETRICS, published by WILEY, stands as a prestigious journal that has made substantial contributions across diverse fields, including Agricultural and Biological Sciences, Applied Mathematics, and Biochemistry. With an impressive track record from its inception in 1946 and continuing through to 2024, this journal is recognized for its rigorous peer-reviewed research and high-impact findings, evidenced by its Q1 ranking in various categories such as Medicine and Statistics. Researchers and professionals alike will find a wealth of knowledge within its pages, making it an essential resource for anyone involved in these dynamic and evolving disciplines. While BIOMETRICS does not offer open access, its reputation for delivering high-quality research ensures its continued importance in advancing the scientific ecosystem. For those seeking to stay ahead in their fields, engaging with the latest studies published in this journal is indispensable.

Statistics and Its Interface

Cultivating Insights at the Crossroads of Statistics and Application
Publisher: INT PRESS BOSTON, INCISSN: 1938-7989Frequency: 4 issues/year

Statistics and Its Interface, issn 1938-7989, published by INT PRESS BOSTON, INC, is a vital academic journal dedicated to bridging the critical intersection of statistics, applied mathematics, and interdisciplinary research. With its inaugural publication in 2011, this journal has continually aimed to provide a platform for innovative statistical methods and their application across various fields, offering valuable insights for researchers and practitioners alike. While the journal currently operates without an open access model, it maintains an essential position within the scholarly community, evidenced by its 2023 rankings in the third quartile for Applied Mathematics and the fourth quartile for Statistics and Probability. Furthermore, it holds a respectable position in Scopus rankings, reflecting its commitment to quality over quantity. By publishing cutting-edge research, Statistics and Its Interface serves as a critical resource for advancing statistical knowledge and cultivating a deeper understanding of its applications in real-world contexts.

BIOMETRIKA

Innovative Research for a Data-Driven World
Publisher: OXFORD UNIV PRESSISSN: 0006-3444Frequency: 4 issues/year

BIOMETRIKA, published by the esteemed Oxford University Press, stands as a pivotal journal in the fields of statistics, probability, and applied mathematics since its inception in 1908. With ISSN number 0006-3444 and E-ISSN 1464-3510, this journal maintains an impressive reputation, consistently achieving Q1 rankings across multiple categories including Agricultural and Biological Sciences, Applied Mathematics, and Statistics. Addressed to a global audience from its base in Oxford, United Kingdom, BIOMETRIKA serves as an essential platform for disseminating rigorous research aimed at advancing statistical methodologies and their applications. While the journal does not offer Open Access options, it is recognized for its high-impact output, holding significant positions in Scopus rankings - specifically attaining a 94th percentile rank in General Mathematics and a 91st percentile in Statistics and Probability. Scholars, professionals, and students alike will find in BIOMETRIKA a wealth of knowledge that bridges theory and practice within the vast domain of statistical science, making it indispensable for ongoing research and education in the field.

Austrian Journal of Statistics

Exploring the Depths of Probability and Uncertainty
Publisher: AUSTRIAN STATISTICAL SOCISSN: 1026-597XFrequency: 2 issues/year

Austrian Journal of Statistics, published by the AUSTRIAN STATISTICAL SOC, serves as a prominent platform for disseminating innovative research in the fields of statistics and applied mathematics. Established as an open-access journal in 1996, it aims to promote the exchange of knowledge and advancements among researchers, academics, and practitioners, particularly in Austria and beyond. With an ISSN of 1026-597X, this journal has gained recognition despite its current standing in the lower quartiles in various Scopus rankings. It covers a wide breadth of topics including statistics, probability, and uncertainty, appealing to a diverse audience of researchers aiming to enhance their understanding of these critical disciplines. By offering unrestricted access to its content, the Austrian Journal of Statistics provides invaluable resources for both emerging and established voices in the field, making it a vital source for academics and professionals alike. Research published here contributes to the ongoing dialogue surrounding statistical methodologies and applications, making it indispensable for anyone engaged in data analysis and interpretation.

BIOMETRICAL JOURNAL

Elevating the standards of quantitative research in health.
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.

STATISTICA NEERLANDICA

Fostering excellence in statistical research since 1946.
Publisher: WILEYISSN: 0039-0402Frequency: 4 issues/year

STATISTICA NEERLANDICA is a prestigious peer-reviewed journal published by Wiley, focusing on the fields of statistics and probability. Established in 1946 and addressing key issues in statistical theory and its applications, the journal has significantly contributed to the development of modern statistical practices. With an impressive Q2 categorization in both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, STATISTICA NEERLANDICA stands out within its field, ranking in the 62nd percentile among its peers in mathematics, specifically in statistics and probability. Researchers, professionals, and students can benefit from its rigorous scholarship and innovative methodologies, aiding in the advancement of statistical science. Although the journal does not operate under an open access model, it maintains a commitment to disseminating high-quality research, making it a vital resource for those engaged in statistical inquiry.