Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Statistics
  • Help & Advice
University of Warwick

The Library

  • Login

The radial plot in meta-analysis : approximations and applications

Tools
- Tools
+ Tools

Copas, John B. and Lozada-Can, Claudia. (2009) The radial plot in meta-analysis : approximations and applications. Journal of the Royal Statistical Society Series C: Applied Statistics, Vol.58 (No.3). pp. 329-344. ISSN 0035-9254

[img]
Preview
PDF
WRAP_Copas_09-02w.pdf - Other - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader

Download (401Kb)
Official URL: http://dx.doi.org/10.1111/j.1467-9876.2008.00650.x

Abstract

Fixed effects meta-analysis can be thought of as least squares analysis of the radial plot, the plot of standardized treatment effect against precision (reciprocal of the standard deviation) for the studies in a systematic review. For example, the least squares slope through the origin estimates the treatment effect, and a widely used test for publication bias is equivalent to testing the significance of the regression intercept. However, the usual theory assumes that the within-study variances are known, whereas in practice they are estimated. This leads to extra variability in the points of the radial plot which can lead to a marked distortion in inferences that are derived from these regression calculations. This is illustrated by a clinical trials example from the Cochrane database. We derive approximations to the sampling properties of the radial plot and suggest bias corrections to some of the commonly used methods of meta-analysis. A simulation study suggests that these bias corrections are effective in controlling levels of significance of tests and coverage of confidence intervals.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
R Medicine > R Medicine (General)
Divisions: Faculty of Science > Statistics
Library of Congress Subject Headings (LCSH): Meta-analysis, Systematic reviews (Medical research)
Journal or Publication Title: Journal of the Royal Statistical Society Series C: Applied Statistics
Publisher: Wiley-Blackwell Publishing, Inc
ISSN: 0035-9254
Date: July 2009
Volume: Vol.58
Number: No.3
Number of Pages: 16
Page Range: pp. 329-344
Identification Number: 10.1111/j.1467-9876.2008.00650.x
Status: Not Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
Funder: Consejo Nacional de Ciencia y Tecnología (Mexico) [Mexican Council for Science and Technology] (CONACYT)
Grant number: 160859 (CONACYT)
References: Copas, J. B. and Malley, P. F. (2008). A robust P-value for treatment effect in meta analysis with publication bias. Statist. in Med., 27, 4267-4278. Egger, M., Smith, G. D., Schneider, M. and Minder, C. (1997). Bias in meta analysis detected by a simple graphical test. Brit. Med. J., 315, 629-634. Galbraith, R. F. (1988). A note on graphical representation of estimated odds ratios from several clinical trials. Statist. in Med., 7, 889-894. Harbord, R. M., Egger, M. and Sterne, J. A. C. (2006). A modified test for small study effects in meta analysis of controlled trials with binary endpoints. Statist. in Med., 25, 3443-3457. Macaskill, P., Walter, S. D. and Irwig, L. (2001). A comparison of methods to detect publication bias in meta analysis. Statist. in Med., 20, 641-654. Mantel, N. (1963). Chi-squared tests with one degree of freedom: extension of the Mantel- Haenszel procedure. J. Am. Statist. Assoc., 58, 690-700. Mantel, N. and Haenszel, W. (1959). Statistical aspects of the analysis of data from retrospective studies of disease. J. Nat. Cancer Inst., 22, 719-748. Pena-Rosas, J, P. and Viteri, F. E. (2006). Effects of routine oral iron supplementation with or without folic acid for women in pregnancy. Cochrane Database of Systematic Reviews, 2006, Issue 3, Art No.: CD004736. DOI: 10.1002/14651858.CD004736.pub2. Peters, J. L., Sutton, A. J., Jones, D. R., Abrams, K. R. and Rushton, L. (2006). Comparison of two methods to detect publication bias in meta analysis. J. Am. Med. Assoc., 295, 676-680. Robins, J., Breslow, N and Greenland, S. (1986). Estimators of the Mantel-Haenszel variance consistent in both sparse and large-stratum limiting models. Biometrics, 42, 311-323. R¨ucker, G., Carpenter, J. R. and Schwarzer, G. (2008). Arcsin tests for publication bias. Statist. in Med., 27, 746-763. Schwarzer, G., Antes, G. and Schumacher, M. (2002). Inflation in Type I error rate in two statistical tests for the detection of publication bias in meta analysis with binary outcomes. Statist. in Med., 21, 2465-2477. Schwarzer, G., Antes, G. and Schumacher, M. (2007). A test for publication bias in meta-analysis with sparse data. Statist. in Med., 26, 721-733 . Sutton, A. J., Abrams, K. R., Jones, D. R., Sheldon, T. A. and Song, F. (2000). Methods for meta-analysis in medical research. Chichester: Wiley.
URI: http://wrap.warwick.ac.uk/id/eprint/27892

Data sourced from Thomson Reuters' Web of Knowledge

Request changes to a record

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...
twitter

Email us: publications@warwick.ac.uk
Contact Details
About Us