Journal of the Royal Statistical Society: Series C (Applied Statistics)

Published on behalf of the Royal Statistical Society

Edited by:
M. S. Ridout and C. J. Skinner

ISI Journal Citation Reports® Ranking: 2008: 43/92 Statistics & Probability
Impact Factor: 1.057

The Journal of the Royal Statistical Society, Series C (Applied Statistics) is a journal of international repute for statisticians both inside and outside the academic world. The journal is concerned with papers which deal with novel solutions to real life statistical problems by adapting or developing methodology, or by demonstrating the proper application of new or existing statistical methods to them. At their heart therefore the papers in the journal are motivated by examples and statistical data of all kinds. The subject-matter covers the whole range of inter-disciplinary fields, e.g. applications in agriculture, genetics, industry, medicine and the physical sciences, and papers on design issues (e.g. in relation to experiments, surveys or observational studies).

A deep understanding of statistical methodology is not necessary to appreciate the content. Although papers describing developments in statistical computing driven by practical examples are within its scope, the journal is not concerned with simply numerical illustrations or simulation studies. The emphasis of Series C is on case-studies of statistical analyses in practice.

TopNews and Announcements

Call for Papers for Special Issue on Case Studies in Industrial Statistics
The Journal of the Royal Statistical Society, Series C (Applied Statistics) is planning a Special Issue on Case Studies in Industrial Statistics. For further information, please click here.

ScholarOne Manuscripts™ (formerly known as Manuscript Central)
Authors are able to submit their paper to the Journal of the Royal Statistical Society online using ScholarOne Manuscripts. Benefits of online submission include:

• Fast decisions on your paper. Submission, review and communication are all handled online. No more postal delays or lost messages!
• Easy. Write your paper on any word processor. Simply save text as RTF or Word. Graphics can be uploaded separately in any popular format, including PowerPoint and Excel.
• Convenient. Submit from any computer with an Internet connection. No software needs to be installed. All you need is a Web browser, Acrobat Reader and email.
• Responsive. Decisions sent by email, revisions made online. The moment a decision is taken, an email is dispatched. You can respond to the comments and submit a revised version online.
• Transparent. Track your manuscripts online. Return to the site at any time to see the current status of your submission

To make a submission, please visit http://mc.manuscriptcentral.com/jrss

Online Open
Authors of articles in this journal can now choose to make their articles open access and available free for all readers through the payment of an author fee. Read more.

Articles Published Online Ahead of Print
Articles which have been fully copy-edited and peer-reviewed are published online through our EarlyView feature before the print edition of this journal is published.

Datasets relating to articles published in the four series of the Journal of the Royal Statistical Society are available online.

Free Online Access in the Developing World
Free online access to this journal is available within institutions in the developing world through the AGORA Initiative with the United Nations Food and Agriculture Organization (FAO), and the OARE Initiative (Online Access to Research in the Environment) with the UN Environment Programme (UNEP).

NIH Public Access Mandate
For those interested in the Wiley-Blackwell policy on the NIH Public Access Mandate, please visit our policy statement.

TopHighlights

Joint analysis of correlated repeated measures and recurrent events processes in the presence of death, with application to a study on acquired immune deficiency syndrome
Lei Liu and Xuelin Huang

Combining information from related meta-analyses of genetic association studies
J. R. Thompson, C. Minelli, K. R. Abrams, A. Thakkinstian and J. Attia

Estimating percentile-specific treatment effects in counterfactual models: a case-study of micronutrient supplementation, birth weight and infant mortality
F. Dominici, S. L. Zeger, G. Parmigiani, J. Katz and P. Christian

Design and evaluation of prophylactic interventions using infectious disease incidence data from close contact groups
Y. Yang, I. M. Longini, Jr, and M. E. Halloran

Efficient survey of households via Gaussian quadrature
C. Arndt, J. Kozlitina and P. V. Prekel

A new mixture model for capture heterogeneity
B. J. T. Morgan and M. S. Ridout

Highly accessed papers
View the 10 most read articles in Series C (Applied Statistics)

Highly cited papers
View the 10 most highly cited articles in Series C (Applied Statistics)