odata

An example of the case-control data (or the outcome data).

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

odata function

A data frame with 3500 observations on the following 7 variables.<dl class="dl-horizontal">
 <dt><code>d</code></dt><dd>case-control status</dd>
 <dt><code>x1</code></dt><dd>numeric covariate</dd>
 <dt><code>x2</code></dt><dd>character 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

Case-control dataset — odata

A data frame with 3500 observations on the following 7 variables.<dl class='dl-horizontal'>
 <dt><code>d</code></dt><dd>case-control status</dd>
 <dt><code>x1</code></dt><dd>numeric covariate</dd>
 <dt><code>x2</code></dt><dd>character 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>

odata: Case-control dataset

Description

Usage

Arguments

Format

Details

Examples