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
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Confidence intervals and P-valves for meta analysis with publication bias

Tools
- Tools
+ Tools

Henmi, Masayuki, Copas, John B. and Eguchi, Shinto (2006) Confidence intervals and P-valves for meta analysis with publication bias. Working Paper. Coventry: University of Warwick. Centre for Research in Statistical Methodology. Working papers, Vol.2006 (No.1).

[img]
Preview
PDF
WRAP_Henmi_06-1v2w.pdf - Published Version - Requires a PDF viewer.

Download (352Kb)
Official URL: http://www2.warwick.ac.uk/fac/sci/statistics/crism...

Request Changes to record.

Abstract

We study publication bias in meta analysis by supposing there is a population
(y, σ) of studies which give treatment effect estimates y ~ N(θ, σ2). A selection function
describes the probability that each study is selected for review. The overall estimate of
θ depends on the studies selected, and hence on the (unknown) selection function. Our
previous paper, Copas and Jackson (2004, A bound for publication bias based on the
fraction of unpublished studies, Biometrics 60, 146-153), studied the maximum bias over
all possible selection functions which satisfy the weak condition that large studies (small σ)
are as likely, or more likely, to be selected than small studies (large σ). This led to a worstcase
sensitivity analysis, controlling for the overall fraction of studies selected. However,
no account was taken of the effect of selection on the uncertainty in estimation. This paper
extends the previous work by finding corresponding confidence intervals and P-values, and
hence a new sensitivity analysis for publication bias. Two examples are discussed.

Item Type: Working or Discussion Paper (Working Paper)
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Science > Statistics
Library of Congress Subject Headings (LCSH): Meta-analysis, Confidence intervals
Series Name: Working papers
Publisher: University of Warwick. Centre for Research in Statistical Methodology
Place of Publication: Coventry
Official Date: 2006
Dates:
DateEvent
2006Published
Volume: Vol.2006
Number: No.1
Number of Pages: 26
Status: Not Peer Reviewed
Access rights to Published version: Open Access
Funder: Engineering and Physical Sciences Research Council (EPSRC)

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

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