Multi

Computes the arithmetic mean of standardized and log-likelihood contributions in the case of multi-arm trials.

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

Multi function

<dl><dt>st.lab</dt>
<dd>studylab of set of studies</dd>
<dt>ei</dt>
<dd>standardized residuals for each comparison from a set of studies</dd>
<dt>wr</dt>
<dd>weigths of random effects model</dd></dl>

Arguments

Residuals and log-likelihood contributions in multi-arm trials — Multi

<dl>

<dt>st.lab</dt>
<dd>studylab of set of studies</dd>


<dt>ei</dt>
<dd>standardized residuals for each comparison from a set of studies</dd>


<dt>wr</dt>
<dd>weigths of random effects model</dd>

</dl>

Multi: Residuals and log-likelihood contributions in multi-arm trials

Description

Usage

Value

Arguments