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2015 Volume 40 Issue 4
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CHEN Wei , ZHAO Shou-ying , LUO Jie , ZHANG Jing-fu. Comparison of Three Estimators of Statistical Heterogeneity in Meta-analysis[J]. Journal of Southwest China Normal University(Natural Science Edition), 2015, 40(4). doi: 10.13718/j.cnki.xsxb.2015.04.022
Citation: CHEN Wei , ZHAO Shou-ying , LUO Jie , ZHANG Jing-fu. Comparison of Three Estimators of Statistical Heterogeneity in Meta-analysis[J]. Journal of Southwest China Normal University(Natural Science Edition), 2015, 40(4). doi: 10.13718/j.cnki.xsxb.2015.04.022
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Comparison of Three Estimators of Statistical Heterogeneity in Meta-analysis

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  • It is very important for model choice and moderator analysis for the quantization of heterogeneity in meta‐analysis ,because the good statistical estimator can ensure the precision of the estimates of the pop‐ulation effect size .T here are three approaches to estimate the heterogeneity ,including moment estimation , maximum likelihood estimation and restricted maximum likelihood estimation .The simulation results indi‐cate that there is no difference in mean squared error using three estimators ,w hen the study size is more than 40 .While the size is less than 40 ,most of outcomes using REML are situated between moment esti‐mation and ML .This shows that REML is more closed to the Cramer‐Rao lower bounds .It is concluded that the REM L is the first estimator for the quantization of heterogeneity .
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Comparison of Three Estimators of Statistical Heterogeneity in Meta-analysis

Abstract: It is very important for model choice and moderator analysis for the quantization of heterogeneity in meta‐analysis ,because the good statistical estimator can ensure the precision of the estimates of the pop‐ulation effect size .T here are three approaches to estimate the heterogeneity ,including moment estimation , maximum likelihood estimation and restricted maximum likelihood estimation .The simulation results indi‐cate that there is no difference in mean squared error using three estimators ,w hen the study size is more than 40 .While the size is less than 40 ,most of outcomes using REML are situated between moment esti‐mation and ML .This shows that REML is more closed to the Cramer‐Rao lower bounds .It is concluded that the REM L is the first estimator for the quantization of heterogeneity .

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