Approximate confidence intervals for moment-based estimators of the between-study variance in random effects meta-analysis

Dan Jackson*, Jack Bowden, Rose Baker

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

14 Citations (Scopus)
21 Downloads (Pure)

Abstract

Moment-based estimators of the between-study variance are very popular when performing random effects meta-analyses. This type of estimation has many advantages including computational and conceptual simplicity. Furthermore, by using these estimators in large samples, valid meta-analyses can be performed without the assumption that the treatment effects follow a normal distribution. Recently proposed moment-based confidence intervals for the between-study variance are exact under the random effects model but are quite elaborate. Here, we present a much simpler method for calculating approximate confidence intervals of this type. This method uses variance-stabilising transformations as its basis and can be used for a very wide variety of moment-based estimators in both the random effects meta-analysis and meta-regression models.

Original languageEnglish
Pages (from-to)372-382
Number of pages11
JournalResearch Synthesis Methods
Volume6
Issue number4
Early online date19 Aug 2015
DOIs
Publication statusPublished - 1 Dec 2015

Keywords

  • Interval estimation
  • Large sample inference
  • Meta-regression
  • Quadratic form

Fingerprint

Dive into the research topics of 'Approximate confidence intervals for moment-based estimators of the between-study variance in random effects meta-analysis'. Together they form a unique fingerprint.
  • Jack Bowden fellowship transfer

    Gaunt, L. F.

    1/08/1531/03/18

    Project: Research

  • MRC UoB UNITE Unit - Programme 1

    Davey Smith, G.

    1/06/1331/03/18

    Project: Research

  • IEU Theme 3

    Windmeijer, F., Tilling, K. M. & Tilling, K. M.

    1/06/1331/03/18

    Project: Research

Cite this