Conduct network meta-analysis (Rücker model) for the whole dataset.

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

nma function

<dl><dt>TE</dt>
<dd>Estimate of treatment effect, i.e. difference between
first and second treatment (e.g. log odds ratio, mean difference,
or log hazard ratio).</dd>
<dt>seTE</dt>
<dd>Standard error of treatment estimate.</dd>
<dt>treat1</dt>
<dd>Label/Number for first treatment.</dd>
<dt>treat2</dt>
<dd>Label/Number for second treatment.</dd>
<dt>studlab</dt>
<dd>Study labels (important when multi arm studies are
included).</dd>
<dt>reference</dt>
<dd>Reference treatment group</dd>
<dt>names.treat</dt>
<dd>names of treatments</dd></dl>

Arguments

Network meta-analysis for the whole dataset. — nma

<dl>

<dt>TE</dt>
<dd>Estimate of treatment effect, i.e. difference between
first and second treatment (e.g. log odds ratio, mean difference,
or log hazard ratio).</dd>


<dt>seTE</dt>
<dd>Standard error of treatment estimate.</dd>


<dt>treat1</dt>
<dd>Label/Number for first treatment.</dd>


<dt>treat2</dt>
<dd>Label/Number for second treatment.</dd>


<dt>studlab</dt>
<dd>Study labels (important when multi arm studies are
included).</dd>


<dt>reference</dt>
<dd>Reference treatment group</dd>


<dt>names.treat</dt>
<dd>names of treatments</dd>

</dl>

nma: Network meta-analysis for the whole dataset.

Description

Usage

Value

Arguments