About the journal
Statistical Modelling is the official journal of the Statistical Modelling Society, founded at Hodder Arnold in 2001 and transferred to SAGE Publications with the rest of the Arnold list in 2006. The journal publishes methodological and applied work across the full statistical-modelling spectrum: generalized linear and additive models, mixed and multilevel models, Bayesian inference, semi-parametric and non-parametric regression, and structural equation methods.
Each volume carries a mix of methodological papers and applied case-studies drawn from epidemiology, the social sciences, ecology, and quantitative finance. The editorial board, drawn from members of the Statistical Modelling Society, has historically prized methods papers that are accompanied by reproducible software examples — an editorial line set when the journal was founded and one which it has carried through the transfer of publishing house.
Harvey Goldstein served as an Associate Editor of the journal in its early years, alongside the wider community of multilevel and generalized-linear-model statisticians who provided the journal with its initial reviewer base. The journal remains the flagship periodical of the Society's annual International Workshop on Statistical Modelling.
Scope
- generalized linear models
- mixed models
- Bayesian inference
- semi-parametric regression
Editorial contributors
- Harvey Goldstein
Associate Editor
Indexing & abstracting
- Scopus
- Web of Science (SCI-Expanded)
- MathSciNet
- zbMATH
Indexing coverage reflects the journal’s inclusion in standard bibliographic databases during the Arnold imprint years and (where applicable) under subsequent publishers.
Bibliographic identifiers
- ISO 4 abbreviation
- Stat. Model.
Last reviewed: