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International Journal of Biostatistics

International Journal of Biostatistics期刊基本信息

  • 簡稱:Inter J Biostat
  • 大類:數(shù)學(xué)
  • 小類:數(shù)學(xué)與計(jì)算生物學(xué)
  • ISSN:2194-573X
  • IF值:1.309
  • 是否SCI:SCIE
  • 是否OA:No
  • 出版地:UNITED STATES
  • 平均錄用比例:容易
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International Journal of Biostatistics中文簡介

國際生物統(tǒng)計(jì)學(xué)雜志(IJB)致力于發(fā)表新的生物統(tǒng)計(jì)模型和方法,新的統(tǒng)計(jì)理論,以及統(tǒng)計(jì)方法的原始應(yīng)用,以解決生物學(xué)、醫(yī)學(xué)、公共衛(wèi)生和農(nóng)業(yè)科學(xué)中出現(xiàn)的重要實(shí)際問題,重點(diǎn)是半?yún)?shù)方法。鑒于許多替代發(fā)布存在于生物統(tǒng)計(jì)學(xué),IJB發(fā)布提供了一個(gè)研究生物統(tǒng)計(jì)學(xué)關(guān)注現(xiàn)代方法,通常基于機(jī)器學(xué)習(xí)和其他data-adaptive方法,以及提供一個(gè)獨(dú)特的閱讀體驗(yàn),迫使作者明確的統(tǒng)計(jì)推斷問題解決的。IJB的目的是使該雜志涵蓋生物統(tǒng)計(jì)學(xué)的全部范圍,從理論進(jìn)展到將實(shí)際問題的相關(guān)和合理翻譯成統(tǒng)計(jì)框架。電子出版物還允許附加數(shù)據(jù)和軟件代碼,并為可重復(fù)研究打開了大門,使讀者可以輕松地復(fù)制論文中描述的分析。我們將歡迎原創(chuàng)的研究和評(píng)論文章,以及將健全的統(tǒng)計(jì)方法應(yīng)用于實(shí)際問題的文章。

International Journal of Biostatistics英文簡介

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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