Example.Data

Example.Data is a hypothetical dataset constructed to demonstrate some of the functions in the package.

In personalized medicine, one wants to know, for a given patient and his or her outcome for a predictor (pre-treatment variable), how likely it is that a treatment will be more beneficial than an alternative treatment. This package allows for the quantification of the predictive causal association (i.e., the association between the predictor variable and the individual causal effect of the treatment) and related metrics. Part of this software has been developed using funding provided from the European Union's 7th Framework Programme for research, technological development and demonstration under Grant Agreement no 602552.

Wim der Elst

EffectTreat

Prediction of Therapeutic Success

Example.Data function

A <code>data.frame</code> with \(181\) observations on \(4\) variables.<dl class="dl-horizontal">
 <dt><code>Id</code></dt><dd>The Patient ID.</dd>
 <dt><code>Treat</code></dt><dd>The treatment indicator, coded as \(-1\) = control and \(1\) = experimental.</dd>
 <dt><code>T</code></dt><dd>The most credible outcome to assess therapeutic success.</dd>
 <dt><code>S</code></dt><dd>The potential pretreatment predictor.</dd>
 </dl>

Format

An example dataset — Example.Data

A <code>data.frame</code> with \(181\) observations on \(4\) variables.<dl class='dl-horizontal'>
 <dt><code>Id</code></dt><dd>The Patient ID.</dd>
 <dt><code>Treat</code></dt><dd>The treatment indicator, coded as \(-1\) = control and \(1\) = experimental.</dd>
 <dt><code>T</code></dt><dd>The most credible outcome to assess therapeutic success.</dd>
 <dt><code>S</code></dt><dd>The potential pretreatment predictor.</dd>
 </dl>

Example.Data: An example dataset

Description

Usage

Arguments

Format