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lüll A re-evaluation of the quantile approximation method for random effects meta-analysis Jackson D; Bowden JStat Med 2009[Jan]; 28 (2): 338-48The quantile approximation method has recently been proposed as a simple method for deriving confidence intervals for the treatment effect in a random effects meta-analysis. Although easily implemented, the quantiles used to construct intervals are derived from a single simulation study. Here it is shown that altering the study parameters, and in particular introducing changes to the distribution of the within-study variances, can have a dramatic impact on the resulting quantiles. This is further illustrated analytically by examining the scenario where all trials are assumed to be the same size. A more cautious approach is therefore suggested, where the conventional standard normal quantile is used in the primary analysis, but where the use of alternative quantiles is also considered in a sensitivity analysis.|*Clinical Trials as Topic[MESH]|*Meta-Analysis as Topic[MESH]|*Models, Statistical[MESH]|*Treatment Outcome[MESH]|Analysis of Variance[MESH]|Confidence Intervals[MESH]|Data Interpretation, Statistical[MESH]|Glycerol/administration & dosage/therapeutic use[MESH]|Humans[MESH]|Solvents/administration & dosage/therapeutic use[MESH]|Stroke/drug therapy[MESH] |