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, 22:05, 8 April 2014
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| Single variant meta-analysis score statistic can be reconstructed from score statistics and their variances generate by each study, assuming that samples are unrelated across studies. Define meta-analysis score statistics as | | Single variant meta-analysis score statistic can be reconstructed from score statistics and their variances generate by each study, assuming that samples are unrelated across studies. Define meta-analysis score statistics as |
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− | <math>U_{meta,i}=\sum_{k=1}^S {U_{i,k}}</math> | + | <math>U_{meta_i}=\sum_{k=1}^S {U_{i,k}}</math> |
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| and its variance | | and its variance |
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− | <math>V_{meta,i}=\sum_{k=1}^S{V_{ii,k}}</math> | + | <math>V_{meta_i}=\sum_{k=1}^S{V_{ii,k}}</math> |
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− | Then the score test statistics for the <math>i^{th}</math> variant <math>T_{meta,i}</math> asymptotically follows standard normal distribution | + | Then the score test statistics for the <math>i^{th}</math> variant <math>T_{meta_i}</math> asymptotically follows standard normal distribution |
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− | <math>T_{meta,i}=U_{meta,i}\bigg/\sqrt{V_{meta,i}}=\sum_{k=1}^S {U_{i,k}}\bigg/\sqrt{\sum_{k=1}^S{V_{ii,k}}} \sim\mathbf{N}(0,1)</math> | + | <math>T_{meta_i}=U_{meta_i}\bigg/\sqrt{V_{meta_i}}=\sum_{k=1}^S {U_{i,k}}\bigg/\sqrt{\sum_{k=1}^S{V_{ii,k}}} \sim\mathbf{N}(0,1)</math> |
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| ===BURDEN META ANALYSIS=== | | ===BURDEN META ANALYSIS=== |