nma.malaria.donegan2018

<p>A dataset of 24 two-arm trials comparing artemether, artesunate
  and quinine with each other in patients with severe malaria. The analysed
  binary outcome is death.</p>

datasets

A comprehensive suite of functions to perform and visualise
pairwise and network meta-analysis with aggregate binary or continuous
missing participant outcome data. The package covers core Bayesian one-stage
models implemented in a systematic review with multiple interventions,
including fixed-effect and random-effects network meta-analysis,
meta-regression, evaluation of the consistency assumption via the
node-splitting approach and the unrelated mean effects model (original and
revised model proposed by Spineli, (2022) <doi:10.1177/0272989X211068005>), and
sensitivity analysis (see Spineli et al., (2021) <doi:10.1186/s12916-021-02195-y>).
Missing participant outcome data are addressed in all models of the package
(see Spineli, (2019) <doi:10.1186/s12874-019-0731-y>, Spineli et al., (2019)
<doi:10.1002/sim.8207>, Spineli, (2019) <doi:10.1016/j.jclinepi.2018.09.002>,
and Spineli et al., (2021) <doi:10.1002/jrsm.1478>).
The robustness to primary analysis results can also be investigated using a
novel intuitive index (see Spineli et al., (2021) <doi:10.1177/0962280220983544>).
Methods to evaluate the transitivity assumption using trial dissimilarities
and hierarchical clustering are provided
(see Spineli, (2024) <doi:10.1186/s12874-024-02436-7>, and
Spineli et al., (2025) <doi:10.1002/sim.70068>). A novel index to
facilitate interpretation of local inconsistency is also available
(see Spineli, (2024) <doi:10.1186/s13643-024-02680-4>)
The package also offers a rich, user-friendly visualisation toolkit that aids
in appraising and interpreting the results thoroughly and preparing the
manuscript for journal submission. The visualisation tools comprise the
network plot, forest plots, panel of diagnostic plots, heatmaps on the extent
of missing participant outcome data in the network, league heatmaps on
estimation and prediction, rankograms, Bland-Altman plot, leverage plot,
deviance scatterplot, heatmap of robustness, barplot of Kullback-Leibler
divergence, heatmap of comparison dissimilarities and dendrogram of comparison
clustering. The package also allows the user to export the results to an Excel
file at the working directory.

Loukia Spineli

rnmamod

Bayesian Network Meta-Analysis with Missing Participants

Chrysostomos Kalyvas

Katerina Papadimitropoulou

nma.malaria.donegan2018 function

<p>A data frame with 24 rows of arm-based data and 11 columns referring
  to the trial number, the treatment identifier in the compared arms,
  the odds ratio in the logarithmic scale and its standard error for each
  trial, the average age in years and its centered version, the number of
  events and number randomised for each arm and trial.</p>

nma.malaria.donegan2018: Artemether, artesunate and quinine for severe malaria

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