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《International Journal of Biostatistics》杂志封面
  • 所属分类:首页 > SCI期刊 > 数学
  • 期刊名: International Journal of Biostatistics
  • 期刊名缩写:INT J BIOSTAT
  • 期刊ISSN:2194-573X
  • E-ISSN:1557-4679
  • 2025年影响因子/JCR分区:1.2/Q2 查看近年IF趋势图
  • 5年平均影响因子:1.6
  • 学科分类与版本:MATHEMATICAL & COMPUTATIONAL BIOLOGY - SCIE; STATISTICS & PROBABILITY - SCIE
  • 出版周期:
  • 出版年份:0
  • 出版国家或地区:UNITED STATES
  • 出版商:WALTER DE GRUYTER GMBH
  • 年文章数:查看近年文章发表趋势图
  • 论著文章占比:95.83% [论著 ÷(论著 + 综述)]
  • 是否OA开放访问:No
  • Gold OA文章占比:12.22%
  • 官方网站:
  • 投稿网址:
  • 编辑部地址:GENTHINER STRASSE 13, BERLIN, GERMANY, D-10785

《International Journal of Biostatistics》中科院JCR分区

  • 2025年3月升级版:
  • 大类小类学科Top综述期刊
    数学 4区
    MATHEMATICAL & COMPUTATIONAL BIOLOGY
    数学与计算生物学
    4区
    STATISTICS & PROBABILITY
    统计学与概率论
    4区

  • 2023年12月升级版:
  • 大类小类学科Top综述期刊
    数学 4区
    MATHEMATICAL & COMPUTATIONAL BIOLOGY
    数学与计算生物学
    4区
    STATISTICS & PROBABILITY
    统计学与概率论
    4区

    《International Journal of Biostatistics》期刊简介:

    The International Journal of Biostatistics (IJB) seeks to publish new biostatistical models and methods, new statistical theory, as well as original applications of statistical methods, for important practical problems arising from the biological, medical, public health, and agricultural sciences with an emphasis on semiparametric methods. Given many alternatives to publish exist within biostatistics, IJB offers a place to publish for research in biostatistics focusing on modern methods, often based on machine-learning and other data-adaptive methodologies, as well as providing a unique reading experience that compels the author to be explicit about the statistical inference problem addressed by the paper. IJB is intended that the journal cover the entire range of biostatistics, from theoretical advances to relevant and sensible translations of a practical problem into a statistical framework. Electronic publication also allows for data and software code to be appended, and opens the door for reproducible research allowing readers to easily replicate analyses described in a paper. Both original research and review articles will be warmly received, as will articles applying sound statistical methods to practical problems.

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