MVcML_SdTheta

This is based on the profile likelihood of the set of valid IVs, which is not robust to uncertainty in model selection.

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

MVcML_SdTheta function

<dl><dt>b_exp</dt>
<dd>A matrix of SNP effects on the exposure variable.</dd>
<dt>b_out</dt>
<dd>A vector of SNP effects on the outcome variable.</dd>
<dt>Sig_inv_l</dt>
<dd>A list of inverse of covariance matrix.</dd>
<dt>theta</dt>
<dd>A vector of final estimates of causal effect of each exposure by MVMR-cML-BIC obtained from <code>MVmr_cML_DP</code>.</dd>
<dt>zero_ind</dt>
<dd>A vector of the index of valid IVs.</dd>
<dt>r_vec</dt>
<dd>A vector of estimated horizontal pleiotropic effects.</dd></dl>

Arguments

Standard error estimate for MVMR-cML-BIC — MVcML_SdTheta

<dl>

<dt>b_exp</dt>
<dd>A matrix of SNP effects on the exposure variable.</dd>


<dt>b_out</dt>
<dd>A vector of SNP effects on the outcome variable.</dd>


<dt>Sig_inv_l</dt>
<dd>A list of inverse of covariance matrix.</dd>


<dt>theta</dt>
<dd>A vector of final estimates of causal effect of each exposure by MVMR-cML-BIC obtained from <code>MVmr_cML_DP</code>.</dd>


<dt>zero_ind</dt>
<dd>A vector of the index of valid IVs.</dd>


<dt>r_vec</dt>
<dd>A vector of estimated horizontal pleiotropic effects.</dd>

</dl>

Standard error estimate for MVMR-cML-BIC

MVcML_SdTheta: Standard error estimate for MVMR-cML-BIC

Description

Usage

Value

Arguments