rnmamod - Bayesian Network Meta-Analysis with Missing Participants
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 quantitatively are provided (see
Spineli, (2024) <doi:10.1186/s12874-024-02436-7>). A novel
index to facilitate interpretation of local inconsistency is
also available (see Spineli, (2024)
<doi:0.1186/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.
