Statistical Modelling
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.
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 |
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 |
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 |
Manuscript submission guidelines can be accessed on Sage Journals.