condFstat

Internal function for calculating conditional F-statistics for the output <code>condFstat</code>.

internal

Encodes several methods for performing Mendelian randomization
analyses with summarized data. Summarized data on genetic associations with the
exposure and with the outcome can be obtained from large consortia. These data
can be used for obtaining causal estimates using instrumental variable methods.

Stephen Burgess

MendelianRandomization

Mendelian Randomization Package

Olena Yavorska

James Staley

Fernando Hartwig

Jim Broadbent

Christopher Foley

Andrew Grant

Amy Mason

Ting Ye

Haoran Xue

Zhaotong Lin

Siqi Xu

Ashish Patel

Hyunseung Kang

Sheng Wang

Ville Karhunen

condFstat function

<dl><dt>.Bx</dt>
<dd>Beta-coefficient for genetic associations with the risk factors.</dd>
<dt>.Bxse</dt>
<dd>Standard error of genetic associations with the risk factors.</dd>
<dt>.nx</dt>
<dd>sample sizes used to compute genetic associations with the risk factors.</dd>
<dt>.ld</dt>
<dd>genetic variant correlation matrix</dd>
<dt>.cor.x</dt>
<dd>Risk factor correlation matrix</dd></dl>

Arguments

Calculates conditional F-statistic for each risk factor using summarized data — condFstat

<dl>

<dt>.Bx</dt>
<dd>Beta-coefficient for genetic associations with the risk factors.</dd>


<dt>.Bxse</dt>
<dd>Standard error of genetic associations with the risk factors.</dd>


<dt>.nx</dt>
<dd>sample sizes used to compute genetic associations with the risk factors.</dd>


<dt>.ld</dt>
<dd>genetic variant correlation matrix</dd>


<dt>.cor.x</dt>
<dd>Risk factor correlation matrix</dd>

</dl>

Calculates conditional F-statistic for each risk factor using summarized data

condFstat: Calculates conditional F-statistic for each risk factor using summarized data

Description

Usage

Value

Arguments

Details

Examples