國際生物統計學雜志(IJB)致力于發表新的生物統計模型和方法，新的統計理論，以及統計方法的原始應用，以解決生物學、醫學、公共衛生和農業科學中出現的重要實際問題，重點是半參數方法。鑒于許多替代發布存在于生物統計學,IJB發布提供了一個研究生物統計學關注現代方法,通常基于機器學習和其他data-adaptive方法,以及提供一個獨特的閱讀體驗,迫使作者明確的統計推斷問題解決的。IJB的目的是使該雜志涵蓋生物統計學的全部范圍，從理論進展到將實際問題的相關和合理翻譯成統計框架。電子出版物還允許附加數據和軟件代碼，并為可重復研究打開了大門，使讀者可以輕松地復制論文中描述的分析。我們將歡迎原創的研究和評論文章，以及將健全的統計方法應用于實際問題的文章。

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.