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- W2066458123 abstract "Abstract Under the random effects model for meta-analysis, confidence intervals for the overall effect are typically constructed using quantiles of the standard normal distribution. We discuss confidence intervals based on both the standard normal distribution and the t-distribution, in conjunction with several methods of estimating the heterogeneity variance for a standardized mean difference, and we compare the empirical coverage probabilities of the intervals using simulation. The coverage probabilities of intervals based on an approximate t-statistic are higher than the coverage probabilities for the standard normal intervals, and are very close to the specified confidence level even for small meta-analysis sample size. Moreover, intervals based on the approximate t-statistic appear relatively robust to different methods of estimating the heterogeneity variance, unlike the normal intervals. Thus, we conclude that confidence intervals based on the t-statistic are superior to the standard normal confidence intervals for a standardized mean difference, and should be used by practitioners in place of the normal intervals." @default.
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- W2066458123 date "2003-01-11" @default.
- W2066458123 modified "2023-10-10" @default.
- W2066458123 title "On Constructing Confidence Intervals for a Standardized Mean Difference in Meta-analysis" @default.
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- W2066458123 doi "https://doi.org/10.1081/sac-120023885" @default.
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