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.

《国际生物统计学杂志》（IJB）致力于发表新的生物统计学模型和方法、新的统计理论以及统计方法的原创应用，以解决生物、医学、公共卫生和农业科学领域出现的重要实际问题，重点是半参数方法。鉴于生物统计学领域存在许多发表替代方案，IJB 为生物统计学研究提供了一个发表平台，重点关注现代方法，这些方法通常基于机器学习和其他数据自适应方法，同时提供独特的阅读体验，迫使作者明确论文中涉及的统计推断问题。IJB 旨在让该杂志涵盖整个生物统计学领域，从理论进展到将实际问题转化为统计框架的相关且合理的翻译。电子出版还允许附加数据和软件代码，并为可重复的研究打开大门，使读者能够轻松复制论文中描述的分析。原创研究和评论文章以及将合理的统计方法应用于实际问题的文章都将受到热烈欢迎。

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