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  "Title": "Network Meta-Analysis using Frequentist Methods",
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  "Description": "A comprehensive set of functions providing frequentist\nmethods for network meta-analysis (Balduzzi et al., 2023)\n<doi:10.18637/jss.v106.i02> and supporting Schwarzer et al.\n(2015) <doi:10.1007/978-3-319-21416-0>, Chapter 8 \"Network\nMeta-Analysis\": - frequentist network meta-analysis following\nRücker (2012) <doi:10.1002/jrsm.1058>; - additive network\nmeta-analysis for combinations of treatments (Rücker et al.,\n2020) <doi:10.1002/bimj.201800167>; - network meta-analysis of\nbinary data using the Mantel-Haenszel or non-central\nhypergeometric distribution method (Efthimiou et al., 2019)\n<doi:10.1002/sim.8158>, or penalised logistic regression\n(Evrenoglou et al., 2022) <doi:10.1002/sim.9562>; - rankograms\nand ranking of treatments by the Surface under the cumulative\nranking curve (SUCRA) (Salanti et al., 2013)\n<doi:10.1016/j.jclinepi.2010.03.016>; - ranking of treatments\nusing P-scores (frequentist analogue of SUCRAs without\nresampling) according to Rücker & Schwarzer (2015)\n<doi:10.1186/s12874-015-0060-8>; - split direct and indirect\nevidence to check consistency (Dias et al., 2010)\n<doi:10.1002/sim.3767>, (Efthimiou et al., 2019)\n<doi:10.1002/sim.8158>; - scatter plot to visualize local\ninconsistency (Wilson et al., 2026)\n<doi:10.1017/rsm.2026.10082>; - league table with network\nmeta-analysis results; - 'comparison-adjusted' funnel plot\n(Chaimani & Salanti, 2012) <doi:10.1002/jrsm.57>; - net heat\nplot and design-based decomposition of Cochran's Q according to\nKrahn et al. (2013) <doi:10.1186/1471-2288-13-35>; - measures\ncharacterizing the flow of evidence between two treatments by\nKönig et al. (2013) <doi:10.1002/sim.6001>; - automated drawing\nof network graphs described in Rücker & Schwarzer (2016)\n<doi:10.1002/jrsm.1143>; - partial order of treatment rankings\n('poset') and Hasse diagram for 'poset' (Carlsen & Bruggemann,\n2014) <doi:10.1002/cem.2569>; (Rücker & Schwarzer, 2017)\n<doi:10.1002/jrsm.1270>; - contribution matrix as described in\nPapakonstantinou et al. (2018)\n<doi:10.12688/f1000research.14770.3> and Davies et al. (2022)\n<doi:10.1002/sim.9346>; - network meta-regression with a single\ncontinuous or binary covariate (Kwarteng et al., 2026)\n<doi:10.21203/rs.3.rs-8235913/v1>; - subgroup network\nmeta-analysis.",
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  "Repository": "https://guido-s.r-universe.dev",
  "Date/Publication": "2026-06-05 13:39:55 UTC",
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