Statistics in Biosciences

Scope & Guideline

Elevating Biosciences with Robust Statistical Applications

Introduction

Explore the comprehensive scope of Statistics in Biosciences through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore Statistics in Biosciences in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN1867-1764
PublisherSPRINGER
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2009 to 2024
AbbreviationSTAT BIOSCI / Stat. Biosci.
Frequency3 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressONE NEW YORK PLAZA, SUITE 4600 , NEW YORK, NY 10004, UNITED STATES

Aims and Scopes

The journal 'Statistics in Biosciences' aims to advance the field of statistical methods and their applications in the biosciences. It serves as a platform for researchers to disseminate innovative statistical techniques that address complex biological questions. The following key areas define the scope of the journal:
  1. Causal Inference and Statistical Modeling:
    Focuses on developing and applying statistical methodologies for causal inference, particularly in biomedical research and public health contexts.
  2. Bayesian Methods in Biosciences:
    Emphasizes the use of Bayesian statistics for analyzing complex data structures, including high-dimensional data and longitudinal studies.
  3. Genomics and Bioinformatics:
    Concentrates on statistical approaches tailored for genomic data analysis, including microbiome studies and genetic association analyses.
  4. Clinical Trials and Epidemiology:
    Explores statistical designs and methodologies for clinical trials, emphasizing innovative approaches to improve trial efficiency and data interpretation.
  5. Machine Learning and Data Science:
    Integrates machine learning techniques with traditional statistical methods to address challenges in biosciences, enhancing predictive modeling and data analysis.
  6. Longitudinal and Survival Analysis:
    Investigates statistical methods for analyzing longitudinal data and survival outcomes, with applications in chronic disease research and health outcomes.
  7. Multivariate and Complex Data Analysis:
    Focuses on statistical techniques for analyzing multivariate data, particularly in the context of health studies and environmental exposures.
Recent trends in 'Statistics in Biosciences' reveal a dynamic evolution of research themes, reflecting the journal's responsiveness to current challenges in the biosciences. The following emerging themes have gained traction:
  1. Integrative Data Analysis:
    There is an increasing interest in methodologies that integrate diverse data types (e.g., genomic, clinical, and environmental) to provide a more comprehensive understanding of health outcomes.
  2. Machine Learning Applications:
    The application of machine learning techniques in statistical analysis is on the rise, particularly for predictive modeling and handling complex datasets in biosciences.
  3. Causal Machine Learning:
    The intersection of causal inference and machine learning is becoming a focal point, with research aiming to improve causal estimation in high-dimensional settings.
  4. Health Data Science:
    The emergence of health data science as a field is reflected in studies that leverage large-scale health data for innovative statistical methodologies.
  5. Microbiome and Metagenomics:
    Growing emphasis on statistical methods for microbiome data analysis and its implications for health and disease is a notable trend in recent publications.
  6. Real-World Evidence and Data Utilization:
    There is a marked increase in studies utilizing real-world data to inform clinical decision-making and enhance the robustness of statistical findings.
  7. Adaptive Trial Designs:
    Adaptive designs in clinical trials, which allow for modifications based on interim results, are increasingly featured, reflecting a shift towards more flexible trial methodologies.

Declining or Waning

While 'Statistics in Biosciences' continues to thrive in many areas, certain themes appear to be losing prominence in recent publications. The following points highlight these waning scopes:
  1. Traditional Frequentist Methods:
    There has been a noticeable shift towards Bayesian methodologies, leading to a decline in the publication of traditional frequentist approaches.
  2. Basic Statistical Theory:
    Papers focused on foundational statistical theory are becoming less common, as the journal increasingly emphasizes applied and interdisciplinary research.
  3. Single-Domain Studies:
    Research that focuses solely on a single domain without integrating multiple data sources or interdisciplinary approaches seems to be diminishing.
  4. Descriptive Statistics:
    There is a decline in studies that primarily present descriptive statistics without substantial inferential or predictive modeling components.
  5. Static Data Analysis:
    The journal is moving away from studies that analyze static datasets, favoring those that employ dynamic or longitudinal data analysis.

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