mtrank: Ranking using Probabilistic Models and Treatment Choice Criteria

Estimation of treatment hierarchies in network meta-analysis using a novel frequentist approach based on treatment choice criteria (TCC) and probabilistic ranking models, as described by Evrenoglou et al. (2024) <doi:10.48550/arXiv.2406.10612>. The TCC are defined using a rule based on the smallest worthwhile difference (SWD). Using the defined TCC, the NMA estimates (i.e., treatment effects and standard errors) are first transformed into treatment preferences, indicating either a treatment preference (e.g., treatment A > treatment B) or a tie (treatment A = treatment B). These treatment preferences are then synthesized using a probabilistic ranking model, which estimates the latent ability parameter of each treatment and produces the final treatment hierarchy. This parameter represents each treatments ability to outperform all the other competing treatments in the network. Here the terms ability to outperform indicates the propensity of each treatment to yield clinically important and beneficial effects when compared to all the other treatments in the network. Consequently, larger ability estimates indicate higher positions in the ranking list.

Version: 0.2-0
Depends: R (≥ 4.0.0), meta (≥ 8.1-0), netmeta (≥ 3.2-0)
Imports: PlackettLuce, dplyr, magrittr, ggplot2
Suggests: rmarkdown, knitr
Published: 2025-06-04
DOI: 10.32614/CRAN.package.mtrank
Author: Theodoros Evrenoglou ORCID iD [aut, cre], Guido Schwarzer ORCID iD [aut]
Maintainer: Theodoros Evrenoglou <theodoros.evrenoglou at uniklinik-freiburg.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/TEvrenoglou/mtrank
NeedsCompilation: no
Materials: NEWS
CRAN checks: mtrank results

Documentation:

Reference manual: mtrank.pdf
Vignettes: mtrank: Tutorial on mtrank (source, R code)

Downloads:

Package source: mtrank_0.2-0.tar.gz
Windows binaries: r-devel: mtrank_0.2-0.zip, r-release: mtrank_0.1-1.zip, r-oldrel: mtrank_0.1-1.zip
macOS binaries: r-release (arm64): mtrank_0.2-0.tgz, r-oldrel (arm64): mtrank_0.2-0.tgz, r-release (x86_64): mtrank_0.2-0.tgz, r-oldrel (x86_64): mtrank_0.2-0.tgz
Old sources: mtrank archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mtrank to link to this page.