JP Journal of Biostatistics

Scope & Guideline

Exploring New Frontiers in Biostatistics and Public Health

Introduction

Welcome to the JP Journal of Biostatistics 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 JP Journal of Biostatistics, 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
ISSN0973-5143
PublisherPUSHPA PUBLISHING HOUSE
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationJP J BIOSTAT / JP J Biostat.
Frequency2 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressVIJAYA NIWAS, 198, MUMFORDGANJ, ALLAHABAD 211002, INDIA

Aims and Scopes

The JP Journal of Biostatistics focuses on the application of statistical methodologies in the fields of health and medical research. Its aim is to advance the understanding and application of biostatistics through innovative research and comprehensive analyses.
  1. Biostatistical Methodologies:
    The journal emphasizes the development and application of new statistical methods specifically tailored for biomedical research, including predictive modeling, survival analysis, and multivariate techniques.
  2. Epidemiological Studies:
    There is a strong focus on epidemiological research, utilizing statistical analysis to understand disease patterns, risk factors, and public health implications.
  3. Machine Learning and Advanced Analytics:
    The journal explores the integration of machine learning and artificial intelligence in biostatistics, enhancing predictive accuracy and data interpretation in health-related studies.
  4. Public Health Research:
    A significant aim is to address public health challenges through statistical analysis, providing insights into health trends, disease outbreaks, and healthcare system performance.
  5. Application of Statistical Models in Medical Research:
    The journal publishes studies that implement statistical models to analyze medical data, assess treatment efficacy, and understand patient outcomes.
The JP Journal of Biostatistics is witnessing a dynamic evolution in its thematic focus. Recent publications reflect emerging trends that highlight the intersection of biostatistics with technology and contemporary health challenges.
  1. Machine Learning Applications:
    A significant increase in the application of machine learning techniques for health data analysis is evident, showcasing the journal's adaptation to technological advancements in data science.
  2. Impact of COVID-19 on Health and Society:
    Research addressing the effects of the COVID-19 pandemic on various health metrics and societal behaviors has surged, reflecting the ongoing relevance of this global health crisis.
  3. Health Data Analytics:
    There is a growing trend towards utilizing big data analytics in health research, focusing on large-scale datasets to derive insights into public health issues and healthcare efficiencies.
  4. Neutrosophic and Fuzzy Logic Approaches:
    Emerging methodologies, including neutrosophic analysis and fuzzy logic, are gaining traction in the journal, indicating a shift towards handling uncertainty and imprecision in health data.
  5. Patient-Centric Research:
    An increasing emphasis on studies that analyze patient experiences and outcomes, particularly in chronic diseases, reflects a trend towards more personalized and patient-centered healthcare research.

Declining or Waning

While the journal has consistently published high-quality research, certain themes appear to be losing prominence in recent years. This decline may reflect shifting research priorities or emerging methodologies.
  1. Traditional Statistical Techniques:
    There seems to be a reduction in the publication of studies employing traditional statistical methods without integration of modern computational techniques, as the field increasingly leans towards more complex methodologies.
  2. Focus on Non-Parametric Methods:
    The frequency of studies focusing solely on non-parametric statistical methods appears to be waning, potentially as researchers favor parametric approaches that leverage larger datasets.
  3. Basic Epidemiological Models:
    Research centered on basic epidemiological models without incorporating advanced analytical techniques is becoming less common, indicating a shift towards more sophisticated modeling approaches.
  4. Descriptive Studies without Analytical Depth:
    There is a noticeable decline in purely descriptive studies that do not employ rigorous statistical analysis or modeling, as the journal's audience seeks more in-depth statistical insights.

Similar Journals

Stats

Connecting minds in the world of statistics and probability.
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.

LIFETIME DATA ANALYSIS

Empowering Insights in Applied Mathematics and Medicine
Publisher: SPRINGERISSN: 1380-7870Frequency: 4 issues/year

LIFETIME DATA ANALYSIS, published by Springer, stands as a premier journal within the fields of Applied Mathematics and Medicine, with an impressive Q1 category ranking in both disciplines as of 2023. Established in 1995, this journal specializes in the analysis of time-to-event data and related methodologies, providing valuable insights applicable to clinical trials, epidemiology, and survival analysis. With its aim to foster innovative research that enhances statistical methods, LIFETIME DATA ANALYSIS supports the academic community by publishing high-quality articles that cover both theoretical advancements and practical applications. Although it does not offer open access, this journal reaches a wide audience globally, bridging the gap between mathematics and health sciences, and underlining its essential role in advancing interdisciplinary research.

BIOSTATISTICS

Empowering researchers with cutting-edge biostatistical insights.
Publisher: OXFORD UNIV PRESSISSN: 1465-4644Frequency: 4 issues/year

BIOSTATISTICS is a premier academic journal dedicated to the intersection of statistical methodologies and their applications in the field of biomedicine, published by Oxford University Press. With its ISSN 1465-4644 and E-ISSN 1468-4357, the journal has established itself as a crucial resource for researchers and professionals in the broad disciplines of statistics and probability, particularly within medical contexts. The journal proudly holds a Q1 ranking in multiple categories as of 2023, including Medicine (miscellaneous), Statistics and Probability, as well as Statistics, Probability, and Uncertainty, placing it at the forefront of statistical research. It has also achieved notable Scopus rankings, underscoring its influence and reach—ranking 27th in Mathematics (Statistics and Probability) and 94th in Medicine (General Medicine). Although it does not currently offer open access options, BIOSTATISTICS remains committed to advancing scholarly conversation and innovation in statistical science, making it an essential outlet for both established and emerging researchers. With contributions spanning from 2003 to 2024, this journal is actively seeking to foster an understanding of complex statistical approaches in biomedicine, enabling professionals in the field to apply robust statistical techniques to real-world problems.

STATISTICAL METHODS IN MEDICAL RESEARCH

Empowering medical research through rigorous data analysis.
Publisher: SAGE PUBLICATIONS LTDISSN: 0962-2802Frequency: 6 issues/year

STATISTICAL METHODS IN MEDICAL RESEARCH is a leading academic journal dedicated to advancing the field of statistical methodologies as they apply to medical research. Published by SAGE Publications Ltd, this prestigious journal focuses on innovative statistical techniques that are pivotal for health-related data analysis and interpretation. With its Q1 ranking in Epidemiology, Health Information Management, and Statistics and Probability as of 2023, it stands out as a vital resource for researchers and practitioners alike. The journal, which has been in circulation since 1992, is widely recognized for its robust contributions to evidence-based medicine and public health, ensuring that practitioners have access to cutting-edge research. Although it currently does not offer Open Access options, the high-impact nature indicated by its rankings and percentile positions solidifies its importance as a go-to source for statistical theories and applications in health research. Researchers, healthcare professionals, and students are encouraged to explore the rich content of this journal to stay abreast of the latest advancements and methodologies.

STATISTICS IN MEDICINE

Pioneering statistical methods for impactful medical insights.
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.

Intelligent Data Analysis

Catalyzing Innovation in the Realm of Data Intelligence
Publisher: IOS PRESSISSN: 1088-467XFrequency: 6 issues/year

Intelligent Data Analysis is a highly regarded journal published by IOS Press, specializing in the fields of Artificial Intelligence, Computer Vision, and Pattern Recognition. With its ISSN 1088-467X and E-ISSN 1571-4128, the journal has been a cornerstone of scholarly communication since its inception in 1997, serving as a vital resource for researchers, professionals, and students engaged in advancing methodologies and applications in intelligent data analysis. The journal maintains its significance with impressive Scopus ranks, indicating its notable position within the academic community. Although currently not an Open Access journal, Intelligent Data Analysis offers a wealth of insights and findings, encouraging collaboration and knowledge exchange among its readership. With an impact factor reflective of its rigorous selection processes, the journal traverses a broad range of topics, contributing to ongoing discussions and innovations in its field. As the journal looks toward shaping future research until 2024 and beyond, it remains a pivotal platform for disseminating cutting-edge research and fostering academic inquiry.

Japanese Journal of Statistics and Data Science

Fostering Interdisciplinary Research in Statistical Sciences
Publisher: SPRINGERNATUREISSN: 2520-8756Frequency: 2 issues/year

Japanese Journal of Statistics and Data Science, published by SPRINGERNATURE, is a leading academic journal dedicated to the advancement of statistical methodologies and data science applications, with a focus on fostering innovative research and discourse within the field. Since its inception in 2018, the journal has sought to bridge theory and practice, embracing emerging trends and interdisciplinary approaches that contribute to the ever-evolving landscape of statistics, probability, and computational theory. Hailing from Germany, the journal holds an impressive Q3 ranking in both Computational Theory and Mathematics and Statistics and Probability, reflecting its commitment to high-quality, impactful research. With an accessible ISSN of 2520-8756 and E-ISSN 2520-8764, the journal invites a global audience of researchers, professionals, and students to explore its rich array of articles and findings, all aimed at furthering knowledge and application in the realm of data science.

EPIDEMIOLOGY

Connecting scholars with groundbreaking epidemiological findings.
Publisher: LIPPINCOTT WILLIAMS & WILKINSISSN: 1044-3983Frequency: 6 issues/year

EPIDEMIOLOGY, published by Lippincott Williams & Wilkins, stands as a vital resource in the field of epidemiological research. With its ISSN 1044-3983 and E-ISSN 1531-5487, this journal has been a cornerstone for scholars since its inception in 1990. Covering a wide array of topics within the domain, it strives to disseminate cutting-edge findings that inform public health policies and clinical practices. Currently ranked Q3 in Epidemiology and positioned at #33 out of 148 according to Scopus, the journal boasts an impressive 78th percentile rank, reflecting its significance and impact within the academic community. Though not open access, EPIDEMIOLOGY provides robust access options for institutional subscribers, ensuring that critical epidemiological insights reach a broad audience. As this field continues to evolve, the journal remains dedicated to empowering researchers, practitioners, and students with the knowledge necessary to advance public health initiatives and improve population health outcomes.

BIOMETRICS

Empowering Researchers with Rigorous Peer-Reviewed Findings
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.

International Journal of Biostatistics

Transforming Data into Health Solutions.
Publisher: WALTER DE GRUYTER GMBHISSN: 2194-573XFrequency: 2 issues/year

The International Journal of Biostatistics, published by Walter de Gruyter GmbH, stands as a critical platform for advancements in the fields of biostatistics and applied statistics in medicine. With an ISSN of 2194-573X and an E-ISSN of 1557-4679, this journal has gained recognition for its rigorous peer-reviewed articles that bridge theoretical statistics and its practical applications in health sciences, maintaining a commendable Q2 quartile ranking in both Medicine and Statistics categories as of 2023. Hosted in Germany, the journal's pivotal role lies in disseminating innovative research findings that guide public health decisions and inform healthcare policy, thus appealing to a diverse readership including researchers, healthcare professionals, and students. Although the journal operates under a subscription model, it remains committed to providing valuable insights into the statistical methods that support evidence-based medicine and improve health outcomes globally. For those engaged in the evolving landscape of biostatistics, the International Journal of Biostatistics serves as an indispensable resource through its comprehensive coverage from 2005 to 2024.