統計模型:由SAGE出版物代表統計模型學會出版的國際期刊。它發表原創和高質量的文章，承認統計建模是應用統計思想的一般框架。提交的報告必須反映統計模型的重要發展、擴展和應用。該雜志的主要目標是發表原創和高質量的文章，承認統計模型作為應用統計思想的一般框架。提交的報告必須反映統計模型的重要發展、擴展和應用。該雜志還鼓勵提交描述科學上有趣的、復雜的或新穎的統計模型方面的來自廣泛的不同學科的投稿，以及包含應用統計模型多樣性的投稿。讀者也可以訪問www.statmod.org/journal.htm下載已發表論文的電子補編，這些補編通常提供代碼和數據，以便分析的重現性。期刊的一個重要目標和令人興奮的特性是，讀者應該能夠重現發表文章中呈現的結果，將發表的技術應用于他們自己的問題，甚至開發他們自己的方法論擴展。為了實現這一目標，強烈建議作者通過一個鏈接到該期刊的網站(http://www.statmod.org/smij/)在互聯網上提供數據和軟件該雜志的目標是成為統計模型的主要資源，包括方法和實踐。它的目標是在性質上是多學科的，促進實質性研究領域之間的思想交流，并為不同學科之間的模型問題的比較、統一和培養提供一個共同的論壇。該雜志將有三個主題:新模型的概念和方法的論文新的統計模型的想法。這些文件將以一個具有實際實質性利益的問題為基礎，并提供適當的數據。僅僅提出和研究基于標準或著名模型的新方法的性質的論文不適合在期刊上發表。關于有趣的實際問題的論文的實際應用，這些問題是使用現有的或對現有建模技術的新改編來解決的。教程和評論與論文最近和前沿的主題在統計模型。由于“實際應用”手稿在統計期刊中不如其他兩種常見，因此值得對這類手稿的類型進行更具體的說明。原稿應描述對某一主題領域的統計分析，在該主題領域，擬議的分析很少(如果曾經有過)在應用領域中進行。但是，這還不足以接受出版。手稿也應該提供一個全面的文獻回顧的這種類型的數據目前如何處理應用領域的文獻中,回顧現代統計方法應用于任何應用程序的數據的類型,并解釋為什么工作是很重要的科目,并提供收益超出當前方法應用于該領域。所使用的方法應該是現代的、相當復雜的(盡管不一定是創新的)，并且到目前為止在主題領域的文獻中應該很少或沒有應用。出版這些手稿的目的是為讀者(包括應用領域的讀者)提供一個機會，使他們看到該領域數據分析發生革命性變化的潛力。人們還希望，這種出版物將為統計學家提供一個渠道，他們在統計領域可能因在主題領域中出色、非常規、聰明和最先進的工作而很少得到承認。

Statistical Modelling: An International Journal is published by SAGE Publications on behalf of the Statistical Modelling Society. It publishes original and high-quality articles that recognize statistical modelling as the general framework for the application of statistical ideas. Submissions must reflect important developments, extensions, and applications in statistical modelling.The primary aim of the journal is to publish original and high-quality articles that recognize statistical modelling as the general framework for the application of statistical ideas. Submissions must reflect important developments, extensions, and applications in statistical modelling. The journal also encourages submissions that describe scientifically interesting, complex or novel statistical modelling aspects from a wide diversity of disciplines, and submissions that embrace the diversity of applied statistical modelling. Readers are also encouraged to visit www.statmod.org/journal.htm to download electronic supplements of published papers, which among other items, often provide code and data for reproducibility of analyses.An important objective and exciting feature of the journal is that the reader should be able to reproduce the results presented in published articles, apply the published techniques to their own problems, and even develop their own extensions of the methodology. To achieve this authors are strongly encouraged to make data and software available over the internet through a website linked to the journal: http://www.statmod.org/smij/The journal aims to be the major resource for statistical modelling, covering both methodology and practice. Its goal is to be multidisciplinary in nature, promoting the cross-fertilization of ideas between substantive research areas, as well as providing a common forum for the comparison, unification and nurturing of modelling issues across different subjects.The journal will have three main themes:New Modelling Concepts and Approaches for papers on new statistical modelling ideas. These papers will be based upon a problem of real substantive interest with appropriate data. Papers that merely propose and study the properties of new methodology based on a standard or well-known model are not appropriate for publication in the journal.Practical Applications for papers on interesting practical problems which are addressed using an existing or a novel adaptation of an existing modelling technique.Tutorials & Reviews with papers on recent and cutting edge topics in statistical modelling.Since "Practical Applications" manuscripts are less common in statistics journals than the other two types, it is worth being more specific concerning the types of manuscripts that fall into this category. Manuscripts should describe statistical analyses of a subject area, where the proposed analyses have rarely (if ever) been done in the application field. This is not, however, sufficient for acceptance for publication. Manuscripts should also provide a thorough literature review of how data of this type are currently handled in the literature of the application area, a review of any applications of modern statistical methodology applied to data of its type in the area, and justification as to why the work is important to the subject area, and provides gains beyond current methodology applied to the field. The methodology used should be modern and reasonably sophisticated (although not necessarily innovative) and should have few or no applications so far in the subject area literature.The intention in publishing such manuscripts is to provide an opportunity for readers (including those from the application area) to see the potential to revolutionize data analysis in the field. It is also hoped that such publication would provide an outlet for statisticians who may get little recognition in the statistics field for excellent, non-routine, clever, state-of-the-art work in subject areas.