ci_t

Internal function for calculating confidence intervals using the t-distribution.

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

ci_t function

<dl><dt>type</dt>
<dd>"l" for lower, "u" for upper.</dd>
<dt>mean</dt>
<dd>Causal estimate.</dd>
<dt>se</dt>
<dd>Standard error of estimate.</dd>
<dt>df</dt>
<dd>Number of degrees of freedom.</dd>
<dt>alpha</dt>
<dd>Significance level.</dd></dl>

Arguments

Calculate confidence intervals using the t-distribution — ci_t

<dl>

<dt>type</dt>
<dd>"l" for lower, "u" for upper.</dd>


<dt>mean</dt>
<dd>Causal estimate.</dd>


<dt>se</dt>
<dd>Standard error of estimate.</dd>


<dt>df</dt>
<dd>Number of degrees of freedom.</dd>


<dt>alpha</dt>
<dd>Significance level.</dd>

</dl>

Calculate confidence intervals using the t-distribution

ci_t: Calculate confidence intervals using the t-distribution

Description

Usage

Value

Arguments

Details

Examples