Abstract:
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.
journal_name
BMC Med Res Methodoljournal_title
BMC medical research methodologyauthors
Kulinskaya E,Dollinger MBdoi
10.1186/s12874-015-0034-xsubject
Has Abstractpub_date
2015-06-10 00:00:00pages
49issn
1471-2288pii
10.1186/s12874-015-0034-xjournal_volume
15pub_type
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