Linde2016

Network meta-analysis of 22 treatments (including placebo and usual
care) for the primary care of depression.

datasets

A comprehensive set of functions providing frequentist methods for network meta-analysis (Balduzzi et al., 2023) <doi:10.18637/jss.v106.i02> and supporting Schwarzer et al. (2015) <doi:10.1007/978-3-319-21416-0>, Chapter 8 "Network Meta-Analysis":
- frequentist network meta-analysis following Rücker (2012) <doi:10.1002/jrsm.1058>;
- additive network meta-analysis for combinations of treatments (Rücker et al., 2020) <doi:10.1002/bimj.201800167>;
- network meta-analysis of binary data using the Mantel-Haenszel or non-central hypergeometric distribution method (Efthimiou et al., 2019) <doi:10.1002/sim.8158>, or penalised logistic regression (Evrenoglou et al., 2022) <doi:10.1002/sim.9562>;
- rankograms and ranking of treatments by the Surface under the cumulative ranking curve (SUCRA) (Salanti et al., 2013) <doi:10.1016/j.jclinepi.2010.03.016>;
- ranking of treatments using P-scores (frequentist analogue of SUCRAs without resampling) according to Rücker & Schwarzer (2015) <doi:10.1186/s12874-015-0060-8>;
- split direct and indirect evidence to check consistency (Dias et al., 2010) <doi:10.1002/sim.3767>, (Efthimiou et al., 2019) <doi:10.1002/sim.8158>;
- scatter plot to visualize local inconsistency (Wilson et al., 2026) <doi:10.1017/rsm.2026.10082>;
- league table with network meta-analysis results;
- 'comparison-adjusted' funnel plot (Chaimani & Salanti, 2012) <doi:10.1002/jrsm.57>;
- net heat plot and design-based decomposition of Cochran's Q according to Krahn et al. (2013) <doi:10.1186/1471-2288-13-35>;
- measures characterizing the flow of evidence between two treatments by König et al. (2013) <doi:10.1002/sim.6001>;
- automated drawing of network graphs described in Rücker & Schwarzer (2016) <doi:10.1002/jrsm.1143>;
- partial order of treatment rankings ('poset') and Hasse diagram for 'poset' (Carlsen & Bruggemann, 2014) <doi:10.1002/cem.2569>; (Rücker & Schwarzer, 2017) <doi:10.1002/jrsm.1270>;
- contribution matrix as described in Papakonstantinou et al. (2018) <doi:10.12688/f1000research.14770.3> and Davies et al. (2022) <doi:10.1002/sim.9346>;
- network meta-regression with a single continuous or binary covariate (Kwarteng et al., 2026) <doi:10.21203/rs.3.rs-8235913/v1>;
- subgroup network meta-analysis.

Guido Schwarzer

netmeta

Network Meta-Analysis using Frequentist Methods

Gerta Rücker

Ulrike Krahn

Jochem König

Orestis Efthimiou

Annabel Davies

Theodoros Papakonstantinou

Theodoros Evrenoglou

Krzysztof Ciomek

Nana-adjoa Kwarteng

Linde2016 function

A data frame with the following columns:<table class="table">
<tr><td>id</td><td>Study ID</td></tr>
<tr><td>author</td><td>First author</td></tr>
<tr><td>year</td><td>Year of publication</td></tr>
<tr><td>treat1</td><td>First treatment (abbreviated)</td></tr>
<tr><td>treat2</td><td>Second treatment (abbreviated)</td></tr>
<tr><td>treat1.long</td><td>First treatment</td></tr>
<tr><td>treat2.long</td><td>Second treatment</td></tr>
<tr><td>lnOR</td><td>Response after treatment (log odds ratio)</td></tr>
<tr><td>selnOR</td><td>Standard error of log odds ratio</td></tr>
<tr><td>resp1</td><td>Responder (first treatment)</td></tr>
<tr><td>n1</td><td>Sample size (first treatment)</td></tr>
<tr><td>resp2</td><td>Responder (second treatment)</td></tr>
<tr><td>n2</td><td>Sample size (second treatment)</td></tr>
</table>

Format

Network meta-analysis of primary care depression treatments — Linde2016

A data frame with the following columns:<table class='table'>
<tr><td>id</td><td>Study ID</td></tr>
<tr><td>author</td><td>First author</td></tr>
<tr><td>year</td><td>Year of publication</td></tr>
<tr><td>treat1</td><td>First treatment (abbreviated)</td></tr>
<tr><td>treat2</td><td>Second treatment (abbreviated)</td></tr>
<tr><td>treat1.long</td><td>First treatment</td></tr>
<tr><td>treat2.long</td><td>Second treatment</td></tr>
<tr><td>lnOR</td><td>Response after treatment (log odds ratio)</td></tr>
<tr><td>selnOR</td><td>Standard error of log odds ratio</td></tr>
<tr><td>resp1</td><td>Responder (first treatment)</td></tr>
<tr><td>n1</td><td>Sample size (first treatment)</td></tr>
<tr><td>resp2</td><td>Responder (second treatment)</td></tr>
<tr><td>n2</td><td>Sample size (second treatment)</td></tr>
</table>

Network meta-analysis of primary care depression treatments

Linde2016: Network meta-analysis of primary care depression treatments

Description

Arguments

Format

See Also

Examples

id	Study ID
*author*	First author
*year*	Year of publication
*treat1*	First treatment (abbreviated)
*treat2*	Second treatment (abbreviated)
*treat1.long*	First treatment
*treat2.long*	Second treatment
*lnOR*	Response after treatment (log odds ratio)
*selnOR*	Standard error of log odds ratio
*resp1*	Responder (first treatment)
n1	Sample size (first treatment)
*resp2*	Responder (second treatment)
n2	Sample size (second treatment)