An accurate test for homogeneity of odds ratios based on Cochran's Q-statistic

Elena Kulinskaya, Michael B. Dollinger

Research output: Contribution to journalArticlepeer-review

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Background: A frequently used statistic for testing homogeneity in a meta-analysis of K independent studies is Cochran's Q. For a standard test of homogeneity the Q statistic is referred to a chi-square distribution with K - 1 degrees of freedom. For the situation in which the effects of the studies are logarithms of odds ratios, the chi-square distribution is much too conservative for moderate size studies, although it may be asymptotically correct as the individual studies become large.

Methods: Using a mixture of theoretical results and simulations, we provide formulas to estimate the shape and scale parameters of a gamma distribution to t the distribution of Q.

Results: Simulation studies show that the gamma distribution is a good approximation to the distribution for Q.

Conclusions: : Use of the gamma distribution instead of the chi-square distribution for Q should eliminate inaccurate inferences in assessing homogeneity in a meta-analysis. (A computer program for implementing this test is provided.) This hypothesis test is competitive with the Breslow-Day test both in accuracy of level and in power.
Original languageEnglish
Article number49
JournalBMC Medical Research Methodology
Publication statusPublished - 10 Jun 2015


  • meta-analysis
  • 2x 2 tables
  • heterogeneity test
  • interaction test
  • fixed effects model
  • random effects model

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