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Statistical Modelling

2016 Impact Factor: 1.074
2016 Ranking: 57/124 in Statistics & Probability
Source: 2016 Journal Citation Reports® (Clarivate Analytics, 2017)
Published in Association with Statistical Modelling Society
An International Journal

Brian D. Marx Louisiana State University, USA
Arnošt Komárek Charles University in Prague, Czech Republic
Ana Militino Public University of Navarre, Spain

eISSN: 14770342 | ISSN: 1471082X | Current volume: 17 | Current issue: 4-5 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

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 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:

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
Jeffrey S. Simonoff New York University, USA
Associate Editors
Francesco Bartolucci University of Perugia, Italy
James Booth Cornell University, USA
Maria Durban Carlos III University of Madrid, Spain
Paul Eilers Erasmus Medical College, 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, USA
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, 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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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 copy-right to Sage ( 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 gures 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 le (smj.cls) and bibliography style le (smj.bst) together with a LATEX template of the manuscript (smj-template.tex) and a bibTEX example le (smj-template.bib) is available for download from

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 affliations of all authors;

  • identication of the corresponding author (this is not necessarily the rst 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 offprints 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 gures, 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 ve 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 le of the article (without gures);

  • all gures in either (Encapculated) Postscript or PDF format;

  • one PDF le of the full version of the paper;

  • an ASCII le of any data used in the paper and any novel software routines (see

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 unless an Open Access option is chosen by authors.

Open Access Option

Authors interested in making their accepted article freely available online can use the SAGE Choice option. Details can be found at Authors who wish to pursue this option should advise one of the editors, as well as the journal editor at SAGE upon acceptance of the paper.



Abbreviations should be spelled out when rst 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.


All vectors and matrices should be shown in bold type (x, Σ).

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


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 gures.


Footnotes are strongly discouraged. Authors should make every eort 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 les for larger datasets. These data will be made available on a linked website upon publication of the paper. If there are condentiality problems, authors should contact an Editor to work out a solution, which could be the inclusion of an example based on a similar (but articially 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.


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 (Komarek and Lesare, 2006), but (Gomez 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):
Komarek, A. and Lesare, 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.

Gomez, 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., and Flexeder, C. (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.

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

Chapter in book:
Lesaffre, E., Komarek, 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. John Wiley and Sons, Chichester.

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.


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 nal version of your manuscript.

Final paper and complimentary copies of journal

The corresponding author will be supplied the nal 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: [unzipped attachments only]

Other submissions should be sent to either

Vicente Nunez-Anton
Editor, Statistical Modelling: An International Journal
University of the Basque Country



Arnost Komarek
Editor, Statistical Modelling: An International Journal
Charles University, Prague
Czech Republic

email: [unzipped attachments only]

If you do not receive conrmation of the submission within seven (7) days or a clear \out-of-offce" 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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