OmniP

Obtains an omnibus p-value from a vector of potentially dependent p-values 
using the method of Cauchy combination. The p-values are converted to Cauchy
random deviates then averaged. The distribution of the average of these 
deviates is well-approximated by a Cauchy distribution in the tails. See
&lt;https://doi.org/10.1080/01621459.2018.1554485&gt;.

Inverse normal transformation (INT) based genetic association testing. These tests are recommend for continuous traits with non-normally distributed residuals. INT-based tests robustly control the type I error in settings where standard linear regression does not, as when the residual distribution exhibits excess skew or kurtosis. Moreover, INT-based tests dominate standard linear regression in terms of power. These tests may be classified into two types. In direct INT (D-INT), the phenotype is itself transformed. In indirect INT (I-INT), phenotypic residuals are transformed. The omnibus test (O-INT) adaptively combines D-INT and I-INT into a single robust and statistically powerful approach. See McCaw ZR, Lane JM, Saxena R, Redline S, Lin X. "Operating characteristics of the rank-based inverse normal transformation for quantitative trait analysis in genome-wide association studies" <doi:10.1111/biom.13214>.

Zachary McCaw

RNOmni

Rank Normal Transformation Omnibus Test

OmniP function

<dl><dt>p</dt>
<dd>Numeric vector of p-values.</dd></dl>

Arguments

Omnibus P-value. — OmniP

<dl>

<dt>p</dt>
<dd>Numeric vector of p-values.</dd>

</dl>

OmniP: Omnibus P-value.

Description

Usage

Value

Arguments