AvgCorr

Threshold Z score above which the p-value likely corresponds to a true positive.

Force correlation estimate to fall in the interval (a,1-a);

Estimates the correlation p-values that have arisen from different tests of
the same hypothesis using the same data. Since an estimate of correlation
under the null is of interest, pairs where at least one of the Z scores
exceeds the threshold \(\tau\) are excluded.

Implementation of genetic association tests that incorporate the rank-based inverse normal transformation (INT). These tests are broadly indicated for traits with continuous residual distributions. In the presence of non-normal residuals, INT-based tests robustly control the type I error, whereas standard linear regression may not. Moreover, INT-based tests dominate standard linear regression in terms of power. There are two main strategies for incorporating the INT in association analysis. In direct INT (D-INT), the trait is directly transformed. In indirect INT (I-INT), residuals are formed prior to transformation. Neither D-INT nor I-INT is uniformly most powerful. The INT omnibus test (O-INT) adaptively combines D-INT and I-INT into a single robust and statistically powerful approach.

AvgCorr: Average Correlation Estimate.

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