plothelper

Helper function to create the plots for FS algorithm.

internal

A set of functions providing several outlier (i.e., studies with extreme findings) and influential detection measures and methodologies in network meta-analysis :
- simple outlier and influential detection measures
- outlier and influential detection measures by considering study deletion (shift the mean)
- plots for outlier and influential detection measures
- Q-Q plot for network meta-analysis
- Forward Search algorithm in network meta-analysis.
- forward plots to monitor statistics in each step of the forward search algorithm
- forward plots for summary estimates and their confidence intervals in each step of forward search algorithm.

Maria Petropoulou

NMAoutlier

Detecting Outliers in Network Meta-Analysis

Guido Schwarzer

Agapios Panos

Dimitris Mavridis

plothelper function

<dl><dt>x</dt>
<dd>object of class NMAoutlier (mandatory).</dd>
<dt>stat</dt>
<dd>The monitored statistic to generate the plot.</dd>
<dt>select.st</dt>
<dd>selected statistic (pscore/nsplit/estand) for
selected treatment(s)/comparison(s)/study</dd></dl>

Arguments

Maria Petropoulou &lt;maria.petropoulou@uniklinik-freiburg.de&gt;

Author

Helper function to create the plots for FS algorithm. — plothelper

<dl>

<dt>x</dt>
<dd>object of class NMAoutlier (mandatory).</dd>


<dt>stat</dt>
<dd>The monitored statistic to generate the plot.</dd>


<dt>select.st</dt>
<dd>selected statistic (pscore/nsplit/estand) for
selected treatment(s)/comparison(s)/study</dd>

</dl>

plothelper: Helper function to create the plots for FS algorithm.

Description

Usage

Arguments

Author

Details