BF_dist

Internal function of the penalized inverse-variance weighted (pIVW) method, which generates bootstrap samples for the bootstrapping Fieller's confidence interval.

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

BF_dist function

<dl><dt>object</dt>
<dd>An <code>MRInput</code> object.</dd>
<dt>beta_hat</dt>
<dd>The causal effect estimate.</dd>
<dt>tau2</dt>
<dd>The estimated variance of the horizontal pleiotropy.</dd>
<dt>lambda</dt>
<dd>The penalty parameter in the pIVW estimator. By default, <code>lambda=1</code>.</dd>
<dt>n_boot</dt>
<dd>The sample size of the bootstrap samples. By default, <code>n_boot=1000</code>.</dd>
<dt>seed_boot</dt>
<dd>The seed for random sampling in the bootstrap method. By default, <code>seed_boot=1</code>.</dd></dl>

Arguments

Generate bootstrap samples for the bootstrapping Fieller's confidence interval of the penalized inverse-variance weighted (pIVW) method — BF_dist

<dl>

<dt>object</dt>
<dd>An <code>MRInput</code> object.</dd>


<dt>beta_hat</dt>
<dd>The causal effect estimate.</dd>


<dt>tau2</dt>
<dd>The estimated variance of the horizontal pleiotropy.</dd>


<dt>lambda</dt>
<dd>The penalty parameter in the pIVW estimator. By default, <code>lambda=1</code>.</dd>


<dt>n_boot</dt>
<dd>The sample size of the bootstrap samples. By default, <code>n_boot=1000</code>.</dd>


<dt>seed_boot</dt>
<dd>The seed for random sampling in the bootstrap method. By default, <code>seed_boot=1</code>.</dd>

</dl>

Generate bootstrap samples for the bootstrapping Fieller's confidence interval of the penalized inverse-variance weighted (pIVW) method

BF_dist: Generate bootstrap samples for the bootstrapping Fieller's confidence interval of the penalized inverse-variance weighted (pIVW) method

Description

Usage

Value

Arguments