netmeta

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; - 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; - subgroup network meta-analysis.

Last 30 days

This package has been downloaded 27,633 times in the last 30 days. The downloads are officially high enough to crash an underfunded departmental server. Quite an accomplishment! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 839 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 106,599 times in the last 365 days. That's a whole lot of downloads. Somewhere, a librarian is trying to figure out why more bandwidth is needed. The day with the most downloads was Feb 05, 2025 with 1,377 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.