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Journal of the Royal Statistical Society: Series A (Statistics in Society)

(Statistics in Society)

Published on behalf of the Royal Statistical Society

Edited by:
S. Day and A. Fielding


ISI Journal Citation Reports® Ranking: 2008: 23/92 Statistics & Probability; 10/37 Social Sciences, Mathematical Methods
Impact Factor: 1.484


Journal of the Royal Statistical Society, Series A (Statistics in Society), publishes papers that demonstrate how statistical thinking, design and analyses play a vital role in all walks of life and benefit society in general. There is no restriction on subject matter. For example, medicine, business and commerce, industry, economics and finance, education and teaching, physical and biomedical sciences, the environment, the law, government and politics, demography, psychology, sociology and sport, all fall within its remit.

The journal's emphasis is on clearly written quantitative approaches to problems in the real world rather than the exposition of technical detail. Of particular interest are papers on topical or contentious statistical issues, papers which give reviews or exposés of current statistical concerns and papers contributing to our understanding of important substantive questions. Such papers are reviewed and published more rapidly. Historical, professional and biographical contributions are also published, as are discussions of methods of data collection and of ethical issues.

TopNews and Announcements

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

Call for Papers
Anchoring Vignettes in Social Sciences, 17 November 2010
The organisers of the meeting are soliciting submissions that address this theme from its statistical foundations to its various applications in all sciences. For further details click here.

Themed issues
172:3 Recent Advances in Multilevel Modelling Methodology and Applications
Guest edited by William J. Browne and Fiona Steele

Special issues
170:2 Census present and future
Guest edited by D. J. Martin

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

The giants of excess: a challenge to the nation's health
Julian Le Grand

Modern statistics: the myth and the magic
D. J. Hand

Misunderstandings between experimentalists and observationalists about causal inference
K. Imai, G King and E. A. Stuart

Joint projections of temperature and precipitation change from multiple climate models: a hierarchical Bayesian approach
Claudia Tebaldi and Bruno Sansó

A re-evaluation of random-effects meta-analysis
J.P.T. Higgins, S.G. Thompson and D.J. Spiegelhalter

Bias modelling in evidence synthesis
R.M. Turner, D.J. Spiegelhalter, G.C.S. Smith and S.G. Thompson

Hierarchical related regression for combining aggregate and individual data in studies of socio-economic disease risk factors
C. Jackson, N. Best and S. Richardson

Understanding the 2001 UK census migration and commuting data: the effect of small cell adjustment and problems of comparison with 1991
J. Stillwell and O. Duke-Williams

The 'heuristics and biases' bias in expert elicitation
M. Kynn

Discussion papers
Series A also publishes papers which have been presented for discussion at meeting of the society. Forthcoming discussion papers are available from the society's web pages. For recently published discussion papers, please browse the Series A online table of contents. Below are a selection that you can read for free.

Calculating compensation for loss of future earnings: estimating and using work life expectancy
Z. Butt, S. Haberman, R. Verrall and V. Wass

Research prioritization based on expected value of partial perfect information: a case-study on interventions to increase uptake of breast cancer screening
N. J. Welton, A. E. Ades, D. M. Caldwell and T. J. Peters

Highly accessed papers
View the 10 most read articles in Series A (Statistics in Society)

Highly cited papers
View the 10 most highly cited articles in Series A (Statistics in Society)