From Genome Analysis Wiki
Jump to navigationJump to search
1 byte added
, 11:49, 26 August 2013
Line 39: |
Line 39: |
| ! scope="col" width="225pt" | Notation | | ! scope="col" width="225pt" | Notation |
| |- | | |- |
− | | Single Variant || <math>T=\sum_{i=1}^n {U_i}\bigg/\sqrt{\sum_{i=1}^n{V_i}}</math> || <math>T\sim\mathbf{N}(0,1)</math> ||<math> U_i \text{is the score statistic from study }i;</math><math> V_i \text{is the variance of } U_i </math> | + | | Single Variant || <math>T=\sum_{i=1}^n {U_i}\bigg/\sqrt{\sum_{i=1}^n{V_i}}</math> || <math>T\sim\mathbf{N}(0,1)</math> ||<math> U_i \text{ is the score statistic from study }i;</math><math> V_i \text{is the variance of } U_i </math> |
| |- | | |- |
| | un-weighted Burden || <math>T_b=\sum_{i=1}^n{\mathbf{U_i}}\Big/\sqrt{\sum_{i=1}^n{\mathbf{V_i}}}</math> || <math>T_b\sim\mathbf{N}(0,1)</math> | | | un-weighted Burden || <math>T_b=\sum_{i=1}^n{\mathbf{U_i}}\Big/\sqrt{\sum_{i=1}^n{\mathbf{V_i}}}</math> || <math>T_b\sim\mathbf{N}(0,1)</math> |