edata

datasets

Mendelian randomization (MR) analysis is a special case of instrumental variable analysis with genetic instruments. It is used to estimate the unconfounded causal effect of an exposure. This package implements estimating and testing methods in Zhang et al. (2019) for MR analysis in case-control studies. It (1) estimates the causal effect of a quantitative exposure by the quasi empirical likelihood approach; (2) uses Lagrange multiplier test for testing the presence of causal; (3) provides a test for the presence of confounder.

Han Zhang

Instrumental Variable Analysis in Case-Control Association
Studies

edata function

A data frame with 1000 observations on the following 8 variables.<dl class="dl-horizontal">
 <dt><code>d</code></dt><dd>condition status (e.g. disease or not).</dd>
 <dt><code>z</code></dt><dd>quantitative exposure.</dd>
 <dt><code>x2</code></dt><dd>character covariate</dd>
 <dt><code>x3</code></dt><dd>binary covariate</dd>
 <dt><code>g1</code></dt><dd>instrument</dd>
 <dt><code>g2</code></dt><dd>instrument</dd>
 <dt><code>g3</code></dt><dd>instrument</dd>
 <dt><code>id</code></dt><dd>subject IDs</dd>
 </dl>

Format

Exposure dataset — edata

A data frame with 1000 observations on the following 8 variables.<dl class='dl-horizontal'>
 <dt><code>d</code></dt><dd>condition status (e.g. disease or not).</dd>
 <dt><code>z</code></dt><dd>quantitative exposure.</dd>
 <dt><code>x2</code></dt><dd>character covariate</dd>
 <dt><code>x3</code></dt><dd>binary covariate</dd>
 <dt><code>g1</code></dt><dd>instrument</dd>
 <dt><code>g2</code></dt><dd>instrument</dd>
 <dt><code>g3</code></dt><dd>instrument</dd>
 <dt><code>id</code></dt><dd>subject IDs</dd>
 </dl>

edata: Exposure dataset

Description

Usage

Arguments

Format

Details

Examples