weighted.median

Internal function for calculating weighted median estimate (or simple median estimate if weights are all equal).

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

weighted.median function

<dl><dt>theta</dt>
<dd>Ratio causal estimates for each genetic variant considered individually.</dd>
<dt>weights</dt>
<dd>Weights.</dd></dl>

Arguments

Weighted median function — weighted.median

<dl>

<dt>theta</dt>
<dd>Ratio causal estimates for each genetic variant considered individually.</dd>


<dt>weights</dt>
<dd>Weights.</dd>

</dl>

Weighted median function

weighted.median: Weighted median function

Description

Usage

Value

Arguments

Details

Examples