ci_t

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

internal

Encodes several methods for performing Mendelian randomization analyses with summarized data. Similar to the 'MendelianRandomization' package, but with fewer bells and whistles, and less frequent updates. As described in Yavorska (2017) <doi:10.1093/ije/dyx034> and Broadbent (2020) <doi:10.12688/wellcomeopenres.16374.2>.

Stephen Burgess

MRZero

Diet Mendelian Randomization

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