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Biostatistics and Epidemiology - Taylor and Francis Ltd | 2024 Cite Score: 0.9 | Q4

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Biostatistics and Epidemiology - Taylor and Francis Ltd | 2024 Cite Score: 0.9 | Q4

  • About this Journal:
  • Biostatistics & Epidemiology is the official publication of the International Biometric Society – Chinese Region. The journal provides a platform for the dissemination of new statistical methods and the promotion of good analytical practices in biomedical investigation and epidemiology. International, peer-reviewed journal dedicated to the dissemination of new statistical methods and the promotion of good analytical practices in biomedical investigation and epidemiology.
  • The journal has four main sections: Method and Theory – Papers should contain new statistical methods and theory that are motivated by real clinical applications. Applications – Papers should provide comprehensive examples from biomedical sciences and epidemiology and clearly articulate the appropriateness of the chosen statistical methods in addressing significant clinical or research questions. Software and Computing – Papers should highlight the utilization of software/computing algorithms in statistical methods related to biomedical science and epidemiology. Tutorials – Papers should be educational pieces or critical reviews of statistical methods in important and emerging areas of biomedical science and epidemiology.Official publication of the International Biometric Society – Chinese Region.
  • Provides a platform for the dissemination of new statistical methods and the promotion of good analytical practices in biomedical investigation and epidemiology.
  • Indexed in major databases such as Scopus and DOAJ.

  • Editor-in-Chief:  Xiao-Hua (Andrew) Zhou

  • Scope of the Journal:
  • Development and application of statistical methods in biostatistics and epidemiology.
  • Analysis of health-related issues using statistical techniques.
  • Methodological research in statistical theory and its applications in public health.
  • Studies focusing on statistical modeling, data analysis, and interpretation in biomedical contexts.
  • Research that bridges the gap between statistical theory and practical applications in health sciences.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  24709360

    Electronic ISSN:  24709379

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:  Epidemiology, Health Informatics

  • Publication Frequency:  

  • H Index:  9

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  

    Q4:  Epidemiology

  • Cite Score:  0.9

  • SNIP:  0.209

  • Journal Rank(SJR):  0.187