Statistical Modelling
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Statistical Modelling

An International Journal
2015 Impact Factor: 0.932
2015 Ranking: 59/123 in Statistics & Probability
2016 Release of Journal Citation Reports, Source: 2015 Web of Science Data
Published in Association with Statistical Modelling Society

Editors
Brian D. Marx Louisiana State University, USA
Jeffrey Simonoff New York University, USA
Arnošt Komárek Charles University in Prague, Czech Republic

eISSN: 14770342| ISSN: 1471082X|Current volume: 16|Current issue: 4 Frequency: Bi-monthly



Call for Papers

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 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. See aims and scope of the journal for more information.

If you wish to contact the editors of the journal Statistical Modelling, please email to journal@statmod.org.

This journal is a member of the Committee on Publication Ethics (COPE).

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.

Editorial Advisory Board
Alan Agresti University of Florida, USA
Murray Aitkin University of Melbourne, Australia
Ludwig Fahrmeir University of Munich, Germany
Herwig Friedl Technical University Graz, Austria
Trevor Hastie Stanford University, USA
John Hinde National University of Ireland, Galway, Ireland
Philip Hougaard International Clinical Research, Denmark
Emmanuel Lesaffre Catholic University, Leuven, Belgium
Gilg Seeber University of Innsbruck, Austria
Associate Editors
Marc Aerts Limburgs Universitair Centrum, Belgium
Francesco Bartolucci University of Perugia, Italy
James Booth Cornell University, USA
Paul Eilers Erasmus Medical College, The Netherlands
Jochen Einbeck Durham University, UK
Marc Fredette HEC Montreal, Canada
Dani Gamerman Universidade Federal do Rio de Janeiro, Brazil
Harvey Goldstein University of Bristol, UK
Guadalupe Gomez Universitat Polithcnica de Catalunya, Barcelona, Spain
Sonia Jain University of California
Alejandro Jara Pontifical Catholic University of Chile, Chile
Berhard Klingenberg Williams College, USA
Thomas Kneib University of Göttingen, Germany
Piotr Kokoszka Colorado State University, USA
Philippe Lambert University of Liege, Belgium
Joe Lang University of Iowa, USA
Stefan Lang University of Innsbruck, Austria
Johannes Ledolter University of Iowa, USA
Geoff McLachlan University of Queensland, Australia
Vito Muggeo University of Palermo, Italy
Vicente Nunez-Anton Universidad del Pais Vasco, Spain
Aris Perperoglou University of Essex, UK
Gilles Teyssiere ENSAI, Rennes/ University of Paris, France
Roula Tsonaka Leiden University Medical Center, The Netherlands
Lola Ugarte Public University of Navarra, Spain
Peter Van der Heijden University of Utrecht, Netherlands
Simon Wood University of Bath, UK
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  • Manuscripts

    Statistical Modelling operates a conventional single-blind reviewing policy in which the reviewers' and the Associate Editor's names are always concealed from the submitting author. All manuscripts are reviewed initially by the Editors. Only those papers that meet the editorial standards of the journal, and fit within the aims and scope of the journal, are sent for outside review by at least two referees.

    operates a conventional single-blind reviewing policy in which the reviewers' and the Associate Editor's names are always concealed from the submitting author. All manuscripts are reviewed initially by the Editors. Only those papers that meet the editorial standards of the journal, and fit within the aims and scope of the journal, are sent for outside review by at least two referees.

    All material submitted for publication is assumed to be exclusively for Statistical Modelling, and not to be currently submitted for publication elsewhere. All authors must assign copy­right to SAGE (http://www.sagepub.com) upon acceptance (by completing the copyright assignment form).

    All submissions must be made by one of the authors of the manuscript. No submissions will be accepted from agents of professional organizations or publishers.

    Priority and time of publication are decided by the editors, who maintain the customary right to edit material accepted for publication if necessary.

    Submission of manuscripts must be in electronic form only. Initial submission of the paper should be as a single, all-inclusive document in PDF format (that is, including all figures and tables embedded in the main text body). LATEX with the smj class is the required package for document preparation; submissions using any other word processing or typesetting package, or not using the smj class, will not be accepted. The smj class file (smj.cls) together with aLATEX template of the manuscript (smj-template.tex) is available for download from http://www.statmod.org/smij/.

    Using proper LATEX commands (see preamble of smj-template.tex), authors are requested to include the following information on the title page of their manuscript:

    · first names, surnames and (as appropriate) initials of the middle names of all authors;
    · current affiliations of all authors;
    · identification of the corresponding author (this is not necessarily the first author), his/her full postal address, e-mail address, phone and fax numbers (including the country code);
    · title and a short title (to be used as a running header) of the paper;
    · abstract;
    · keywords.

    All correspondence regarding the manuscript will be conducted with the indicated corre­sponding author, who also receives the proofs and final PDFs of the paper if it is accepted for publication.

    An abstract of up to 200 words should be included together with 5 or 6 keywords in al­phabetical order to describe the content of the paper. Authors should take great care in preparing the abstract and not simply lift it from the main text. The abstract should de­scribe the background and contribution of the manuscript and give a clear verbal description of the results and examples, and avoid citations whenever possible.

    Papers should not normally exceed about 35 pages of a format provided by the smj LATEX class including all figures, tables and references. Authors should consider separating material for online supplemental presentation on the journal's web site, particularly if the paper is long.

    Any acknowledgements should be included as an unnumbered section at the end of the text before the list of references.

    Files under five megabytes can be sent by email to an editor as an attachment. Larger files can be submitted by placing them on an FTP or HTTP site and directing an editor to them.

    Upon acceptance of the paper, authors should send the following files:
    · one LATEX file of the article (without figures);
    · all figures in either (Encapculated) Postscript or PDF format;
    · one PDF file of the full version of the paper;
    · an ASCII file of any data used in the paper and any novel software routines (see below).

    There is no fee for submission of a paper to the journal. There are no acceptance fees or page charges for papers that have been accepted for publication.

    Style

    General
    Abbreviations should be spelled out when first used in the text. Full stops should be used in lower case abbreviations (e.g., i.e.) but not for capitals (SAS, ANOVA). Spelling is to follow the Oxford Dictionary.

    Mathematical
    All vectors and matrices should be shown in bold type (x, S).
    Avoid confusion between ambiguous characters and take care to ensure that subscripts and superscripts are clear.
    Numbers below 10 should be written out in the text unless used in conjunction with units (e.g. three apples, 4 kg).
    Full points (not commas) should be used for decimals. For numbers less than one, a nought should be inserted before the decimal point. Use spaces (not commas) within numbers (e.g. 10 000, 0.125 275).
    Only those displayed equations that are referred to at least once in the text and obtained by LATEX environments like
                     \begin{equation}\end{equation}
    should be numbered.

    Headings and Subheadings
    Sectioning of the text should be achieved by the LATEX commands \section, \subsection, \subsubsection. The section, subsection and subsubsection titles should be written in a sentence style:

    1 First level heading

    1.1 Second level heading
    1.1.1 Third level heading
    The use of more than three levels of heading should be avoided.

    Tables and illustrations
    These should have self-explanatory legends and captions. After acceptance of a manuscript, the authors will be required to submit (Encapsulated) Postscript or PDF versions of all figures.

    Footnotes
    Footnotes are strongly discouraged. Authors should make every effort to make such material part of the running text.

    Data and Software
    It is expected that any data used will be made available upon acceptance of the manuscript, either as an included table for small datasets or as ASCII files for larger datasets. These data will be made available on a linked website upon publication of the paper. If there are confidentiality problems, authors should contact an Editor to work out a solution, which could be the inclusion of an example based on a similar (but artificially simulated) dataset.

    Brief information on the software used for any analyses should be included in the paper. Any novel software used in the paper (language source code or macros/routines for standard packages) should also be made available, together with driver programs that allow the reader to reproduce the results given in the paper. For published papers this code will also be put on the linked website.

    References
    The Harvard style should be used for references, with citations in the text giving authors’ names and dates of publication, using Kneib (2013) for a direct reference and (Kneib, 2013) for an indirect reference. “et al.” should be used in citing references where there are more than two authors, so (Komárek and Lesaffre, 2006), but (Gómez et al., 2009) if there are three or more authors. The references are then listed in full at the end of the article in alphabetical order.

    Journal article (one author):
    Kneib, T. (2013). Beyond mean regression. Statistical Modelling, 13, 275–303.

    Journal article (two authors): 
    Komárek, A. and Lesaffre. E. (2006). Bayesian semi-parametric accelerated failure time model for paired doubly-interval-censored data. Statistical Modelling, 6, 3–22.

    Journal article (three or four authors):
    Li, L. Simonoff, J.,S., and Tsai, C-.L. (2007). Tobit model estimation and sliced inverse regres­sion. Statistical Modelling, 7, 107–123.

    Gómez, G. Luz Calle, M. Oller, R., and Langohr, K. (2009). Tutorial on methods for interval-censored data and their implementation in R. Statistical Modelling, 9, 259–297.

    Journal article (more than four authors):
    Waldmann, E. Kneib, T. Yue, Y.R. Lang, S. (2013) Bayesian semiparametric additive quantile regression. Statistical Modelling, 13, 223–252.

    Journal titles should be stated in full. List surnames and initials of all authors

    Book:
    Fahrmeir, L. Kneib, T. Lang, S., and Marx, B. (2013). Regression: Models, Methods and Appli­cations. New York: Springer-Verlag.

    Chapter in book:
    Lesaffre, E. Komárek, A., and Jara, A. (2009) The Bayesian approach. In Lesaffre, E. Feine, J. Leroux, B., and Declerck, D. eds. Statistical and Methodological Aspects of Oral Health Research, pages 315–338. Chichester: John Wiley and Sons.

    Capabilities of the LATEX natbib package can be used to include references in a proper way. The natbib package is automatically loaded with the smj class. It is also possible to use bibTEX to produce the list of references. When doing that do not include any \bibliographystyle command in your manuscript. A proper smj bibliography style is chosen automatically by the smj class.

    Permissions
    It is the responsibility of the author(s) to obtain written consent from the original pub­lisher and author(s) to use any copyrighted material published previously elsewhere. Please forward all correspondence with the final version of your manuscript.

    Final paper and complimentary copies of journal
    The corresponding author will be supplied the final PDF version of the paper. All contribut­ing authors will receive one complimentary copy of the journal issue in which the article appears.

    Addresses for Submission

    Submit your paper to one and only one editor.

    Submissions from North America should be sent to:

    Brian D. Marx
    Co-ordinating Editor, Statistical Modelling: An International Journal
    Louisiana State University United States
    email: bmarx@lsu.edu [unzipped attachments only]

    Other submissions should be sent to either

    Jeffrey S. Simonoff
    Editor, Statistical Modelling: An International Journal
    New York University United States
    email: jsimonof@stern.nyu.edu

    Or

    Arnošt Komárek 
    Editor, Statistical Modelling: An International Journal
    Charles University in Prague Czech Republic
    email: smj-komarek@karlin.mff.cuni.cz [unzipped attachments only]

    If you do not receive confirmation of the submission within seven (7) days or a clear “out­of-office” reply, your submission was most likely not delivered. In that case, please, try to contact another editor while clearly stating to which editor the paper was originally submitted.

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