netmeta (version 1.2-1)

netmeta-package: netmeta: Brief overview of methods and general hints

Description

R package netmeta provides frequentist methods for network meta-analysis and supports Schwarzer et al. (2015), Chapter 8 on network meta-analysis http://meta-analysis-with-r.org/.

Arguments

Details

R package netmeta is an add-on package for meta providing the following meta-analysis methods:

  • frequentist network meta-analysis (function netmeta) based on R<U+00FC>cker (2012) and R<U+00FC>cker & Schwarzer (2014);

  • net heat plot (netheat) and design-based decomposition of Cochran's Q (decomp.design) described in Krahn et al. (2013);

  • measures characterizing the flow of evidence between two treatments (netmeasures) described in K<U+00F6>nig et al. (2013);

  • ranking of treatments (netrank) based on frequentist analogue of SUCRA (R<U+00FC>cker & Schwarzer, 2015);

  • partial order of treatment rankings (netposet, plot.netposet) and Hasse diagram (hasse) according to Carlsen & Bruggemann (2014) and R<U+00FC>cker & Schwarzer (2017);

  • split direct and indirect evidence (netsplit) to check for consistency (Dias et al., 2010; Efthimiou et al., 2019);

  • league table with network meta-analysis results (netleague);

  • additive network meta-analysis for combinations of treatments (netcomb, discomb for disconnected networks) (R<U+00FC>cker et al., 2019);

  • network meta-analysis of binary data (netmetabin) using the Mantel-Haenszel or non-central hypergeometric distribution method (Efthimiou et al., 2019);

  • ‘comparison-adjusted’ funnel plot (funnel.netmeta) to assess funnel plot asymmetry in network meta-analysis (Chaimani & Salanti, 2012)

  • automated drawing of network graphs (netgraph.netmeta) described in R<U+00FC>cker & Schwarzer (2016);

  • results of several network meta-analyses can be combined with netbind to show these results in a forest plot.

Furthermore, functions and datasets from netmeta are utilised in Schwarzer et al. (2015), Chapter 8 "Network Meta-Analysis", http://meta-analysis-with-r.org/.

Type help(package = "netmeta") for a listing of all R functions available in netmeta.

Type citation("netmeta") on how to cite netmeta in publications.

To report problems and bugs

  • type bug.report(package = "netmeta") if you do not use RStudio,

  • send an email to Guido Schwarzer sc@imbi.uni-freiburg.de if you use RStudio.

The development version of netmeta is available on GitHub https://github.com/guido-s/netmeta.

References

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, R<U+00FC>cker 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, https://doi.org/10.1002/sim.8158

K<U+00F6>nig 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, K<U+00F6>nig J (2013): A graphical tool for locating inconsistency in network meta-analyses. BMC Medical Research Methodology, 13, 35

R<U+00FC>cker G (2012): Network meta-analysis, electrical networks and graph theory. Research Synthesis Methods, 3, 312--24

R<U+00FC>cker 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

R<U+00FC>cker G, Schwarzer G (2015): Ranking treatments in frequentist network meta-analysis works without resampling methods. BMC Medical Research Methodology, 15, 58

R<U+00FC>cker G, Schwarzer G (2016): Automated drawing of network plots in network meta-analysis. Research Synthesis Methods, 7, 94--107

R<U+00FC>cker G, Schwarzer G (2017): Resolve conflicting rankings of outcomes in network meta-analysis: Partial ordering of treatments. Research Synthesis Methods, 8, 526--36

R<U+00FC>cker G, Petropoulou M, Schwarzer G (2019): Network meta-analysis of multicomponent interventions. Biometrical Journal, 1--14, https://doi.org/10.1002/bimj.201800167

Schwarzer G, Carpenter JR and R<U+00FC>cker G (2015): Meta-Analysis with R (Use-R!). Springer International Publishing, Switzerland.