netmeta: Network Meta-Analysis using Frequentist Methods Official Git repository of R package netmeta
A comprehensive set of functions providing frequentist methods for
network meta-analysis:
frequentist network meta-analysis (Rücker, 2012; Rücker &
Schwarzer, 2014);
net heat plot and design-based decomposition of Cochran's Q (Krahn
et al., 2013);
measures characterizing the flow of evidence between two
treatments (König et al., 2013);
ranking of treatments based on frequentist analogue of SUCRA
(Rücker & Schwarzer, 2015);
partial order of treatment rankings ('poset') and Hasse diagram
for 'poset' (Carlsen & Bruggemann, 2014; Rücker & Schwarzer,
2017);
split direct and indirect evidence to check consistency (Dias et
al., 2010);
league table with network meta-analysis results;
additive network meta-analysis for combinations of treatments
(Rücker et al., 2019);
network meta-analysis of binary data using the Mantel-Haenszel
method or the non-central hypergeometric distribution (Efthimiou
et al., 2019);
'comparison-adjusted' funnel plot (Chaimani & Salanti, 2012);
automated drawing of network graphs (Rücker & Schwarzer, 2016).
Furthermore, R package netmeta provides functions and datasets to
support Schwarzer et al. (2015), Chapter 8 "Network Meta-Analysis",
http://meta-analysis-with-r.org/ .
Carlsen L, Bruggemann R (2014): Partial order methodology: a valuable tool in chemometrics. Journal of Chemometrics , 28 , 226-34
Chaimani A, Salanti G (2012): Using network meta-analysis to evaluate the existence of small-study effects in a network of interventions. Research Synthesis Methods , 3 , 161-76
Dias S, Welton NJ, Caldwell DM, Ades AE (2010): Checking consistency in mixed treatment comparison meta-analysis. Statistics in Medicine , 29 , 932-44
Efthimiou O, Rücker G, Schwarzer G, Higgins J, Egger M, Salanti G
(2019): A Mantel-Haenszel model for network meta-analysis of rare
events. Statistics in Medicine , 1-21
König J, Krahn U, Binder H (2013): Visualizing the flow of evidence in network meta-analysis and characterizing mixed treatment comparisons. Statistics in Medicine , 32 , 5414-29
Krahn U, Binder H, König J (2013): A graphical tool for locating inconsistency in network meta-analyses. BMC Medical Research Methodology , 13 , 35
Rücker G (2012): Network meta-analysis, electrical networks and graph theory. Research Synthesis Methods , 3 , 312-24
Rücker G, Schwarzer G (2014): Reduce dimension or reduce weights? Comparing two approaches to multi-arm studies in network meta-analysis. Statistics in Medicine , 33 , 4353-69
Rücker G, Schwarzer G (2015): Ranking treatments in frequentist network meta-analysis works without resampling methods. BMC Medical Research Methodology , 15 , 58
Rücker G, Schwarzer G (2016): Automated drawing of network plots in network meta-analysis. Research Synthesis Methods , 7 , 94-107
Rücker G, Schwarzer G (2017): Resolve conflicting rankings of outcomes in network meta-analysis: Partial ordering of treatments. Research Synthesis Methods , 8 , 526-36
Rücker G, Petropoulou M, Schwarzer G (2019): Network meta-analysis of multicomponent interventions. Biometrical Journal , 1-14
Schwarzer G, Carpenter JR and Rücker G (2015): Meta-Analysis with R (Use-R!) . Springer International Publishing, Switzerland
Current official install.packages(" netmeta" Current development version on GitHub: Installation using R package
devtools
install.packages(" devtools" devtools :: install_github(" guido-s/netmeta" ref = " develop" Note, the development version of netmeta always has version number
6.6-6.
bug.report(package = " netmeta" The bug.report function is not supported in RStudio. Please send an
email to Guido Schwarzer sc@imbi.uni-freiburg.de if you use RStudio.
You can also report bugs on GitHub under Issues .
