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A homogeneity test in overviews with group sequentially monitored clinical trials
1Department of Biometrics and Statistical Sciences, Procter and Gamble Company, Mason, Ohio 45040, USA. li.z@pg.com
Abstract:
It is known that using statistical stopping rules in clinical trials can create an artificial heterogeneity of treatment effects in overviews of related trials (Hughes, Freedman, and Pocock, 1992, Biometrics 48, 41-53). If the true treatment effect being tested is small, as is often the case, the homogeneity test by DerSimonian and Laird (1986, Controlled Clinical Trials 7, 177-188) violates the size of the test very severely. This paper provides a new homogeneity test, which preserves the size of the test more accurately. The operating characteristics of the new test are examined through simulations.
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