Advances in the meta-analysis of heterogeneous clinical trials I: The inverse variance heterogeneity model
This article examines an improved alternative to the random effects (RE) model for meta-analysis of heterogeneous studies. It is shown that the known issues of underestimation of the statistical error and spuriously overconfident estimates with the RE model can be resolved by the use of an estimator under the fixed effect model assumption with a quasi-likelihood based variance structure - the IVhet model. Extensive simulations confirm that this estimator retains a correct coverage probability...[Show more]
|Collections||ANU Research Publications|
|Source:||Contemporary Clinical Trials|
|01_Doi_Advances_in_the_meta-analysis_2015.pdf||2.45 MB||Adobe PDF|
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