Test Homogeneity of Odds Ratio in a Randomized Clinical Trial with Noncompliance

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

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 fit 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.

Electronic supplementary material

The online version of this article (doi:10.1186/s12874-015-0034-x) contains supplementary material, which is available to authorized users.