Skip to main content

Simple heterogeneity variance estimation for meta-analysis

Buy Article:

$43.00 plus tax (Refund Policy)


A simple method of estimating the heterogeneity variance in a random-effects model for meta-analysis is proposed. The estimator that is presented is simple and easy to calculate and has improved bias compared with the most common estimator used in random-effects meta-analysis, particularly when the heterogeneity variance is moderate to large. In addition, it always yields a non-negative estimate of the heterogeneity variance, unlike some existing estimators. We find that random-effects inference about the overall effect based on this heterogeneity variance estimator is more reliable than inference using the common estimator, in terms of coverage probability for an interval estimate.
No References
No Citations
No Supplementary Data
No Data/Media
No Metrics

Keywords: Across-study variance; Confidence intervals; Variance estimation; Weighted residual sum of squares

Document Type: Research Article

Affiliations: 1: Wyeth Research, Princeton, USA 2: Mississippi State University, Mississippi State, USA

Publication date: 2005-04-01

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more