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Statistical Modelling

Statistical Modelling

Published in Association with Statistical Modelling Society
An International Journal

eISSN: 14770342 | ISSN: 1471082X | Current volume: 24 | Current issue: 4 Frequency: Bi-monthly



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.

Statistical Modelling wishes to particularly encourage Ph.D. students to submit their original work. As the Editorial Board is aware of the importance of timely publication for articles that are part of a cumulative Ph.D. thesis, we encourage corresponding authors to highlight when the first author is a Ph.D. student. The Editorial Board will then give these articles priority in order to reach a timely decision and will try to provide a fast peer review process in a supportive environment.

Editors
Vicente Núñez-Antón (Coordinating Editor) University of the Basque Country UPV/EHU, Spain
Andreas Mayr University of Bonn, Germany
Francesco Bartolucci University of Perugia, Italy
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
Arnošt Komárek Charles University in Prague, Czech Republic
Emmanuel Lesaffre Catholic University, Leuven, Belgium
Gilg Seeber University of Innsbruck, Austria
Jeffrey S. Simonoff New York University, USA
Associate Editors
Carmen Armero Universitat de València, Spain
Josu Arteche University of the Basque Country UPV/EHU, Spain
Elisabeth Bergherr University of Göttingen, Germany
Riccardo De Bin University of Oslo, Norway
James Booth Cornell University, USA
Kevin Burke University of Limerick, Ireland
Rolando de la Cruz Universidad Adolfo Ibáñez, Chile
Michael J Daniels University of Florida, USA
Maria Durban Carlos III University of Madrid, Spain
Paul Eilers Erasmus Medical College, Netherlands
Jochen Einbeck Durham University, UK
Christel Faes Hasselt University, Belgium
Konstantinos Fokianos University of Cyprus, Cyprus
Dani Gamerman Universidade Federal do Rio de Janeiro, Brazil
Jutta Gampe Max Planck Institute for Demographic Research, Germany
Guadalupe Gomez Universitat Politécnica de Catalunya, Barcelona, Spain
Sonja Greven Humboldt-Universität zu Berlin, Germany
Andreas Groll TU Dortmund University, Germany
Ardo van den Hout University College London, UK
Maria Iannario University of Naples Federico II, Italy
Sonia Jain University of California, USA
Alejandro Jara Pontifical Catholic University of Chile, Chile
Maria Kateri RWTH Aachen University, Germany
Philippe Lambert University of Liege, Belgium
Joe Lang University of Iowa, USA
Stefan Lang University of Innsbruck, Austria
Geoff McLachlan University of Queensland, Australia
Vito Muggeo University of Palermo, Italy
Garritt Page Brigham Young University, USA
Fulvia Pennoni University of Milano-Bicocca, Italy
Aris Perperoglou GSK, London, UK
Roula Tsonaka Leiden University Medical Center, Netherlands
Lola Ugarte Public University of Navarra, Spain
Nikolaus Umlauf University of Innsbruck, Austria
Sophie Vanbelle Maastricht University, the Netherlands
Christian H Weiß Helmut Schmidt University, Germany
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