trial

Simulated clinical trial where patient recovery is dependent on drug intake and resistance status.

datasets

Implements the estimation of local (and global) association measures: Ducher's Z, pointwise mutual information, normalized pointwise mutual information and chi-squared residuals. The significance of local (and global) association is accessed using p-values estimated by permutations. Finally, using local association subgroup analysis, it identifies if the association between variables is dependent on the value of another variable.

Olivier M. F. Martin

zebu

Local Association Measures

Michel Ducher

trial function

A data frame with 100 rows and 3 variables:<dl class="dl-horizontal">
 <dt>drug</dt><dd>binary variable (placebo, drug), did patient receive drug</dd>
 <dt>resistance</dt><dd>binary variable (sensitive, resistant), is patient resistance to drug</dd>
 <dt>prebiom</dt><dd>continuous variable between 0 and 1, biomarker that represents health status of patient before treatment; healthy patients have values around 0.6</dd>
 <dt>postbiom</dt><dd>continuous variable between 0 and 1, biomarker that represents health status of patient after treatment; healthy patients have values above 0.6</dd></dl>

Format

Resistance to drug treatment — trial

A data frame with 100 rows and 3 variables:<dl class='dl-horizontal'>
 <dt>drug</dt><dd>binary variable (placebo, drug), did patient receive drug</dd>
 <dt>resistance</dt><dd>binary variable (sensitive, resistant), is patient resistance to drug</dd>
 <dt>prebiom</dt><dd>continuous variable between 0 and 1, biomarker that represents health status of patient before treatment; healthy patients have values around 0.6</dd>
 <dt>postbiom</dt><dd>continuous variable between 0 and 1, biomarker that represents health status of patient after treatment; healthy patients have values above 0.6</dd></dl>

trial: Resistance to drug treatment

Description

Usage

Arguments

Format