# Changes

## RAREMETALWORKER METHOD

, 13:15, 1 April 2014
Single Variant Score Tests
$\mathbf{V}=(\mathbf{G}-\bar{\mathbf{G}})^T (\hat{\boldsymbol{\Omega}}^{-1}-\hat{\boldsymbol{\Omega}}^{-1} \mathbf{X}(\mathbf{X^T}\hat{\boldsymbol{\Omega}}^{-1}\mathbf{X})^{-1} \mathbf{X^T} \hat{\boldsymbol{\Omega}}^{-1})(\mathbf{G}-\bar{\mathbf{G}})$.
The score test statistic , $T_i=(U_i^2)/V_{ii}$ , is asymptotically distributed as chi-squared with one degree of freedom.
== Summary Statistics and Covariance Matrices==
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