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If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
To cite multinma in publications use:
Phillippo DM (2024). multinma: Bayesian Network Meta-Analysis of Individual and Aggregate Data. doi:10.5281/zenodo.3904454, R package version 0.7.1, https://dmphillippo.github.io/multinma/.
When fitting ML-NMR models with IPD and AgD, please cite the methods paper:
Phillippo DM, Dias S, Ades AE, Belger M, Brnabic A, Schacht A, Saure D, Kadziola Z, Welton NJ (2020). “Multilevel Network Meta-Regression for population-adjusted treatment comparisons.” Journal of the Royal Statistical Society: Series A (Statistics in Society), 183(3), 1189-1210. doi:10.1111/rssa.12579.
Corresponding BibTeX entries:
@Manual{, title = {multinma: Bayesian Network Meta-Analysis of Individual and Aggregate Data}, author = {David M. Phillippo}, year = {2024}, note = {R package version 0.7.1}, url = {https://dmphillippo.github.io/multinma/}, doi = {10.5281/zenodo.3904454}, }
@Article{, title = {Multilevel Network Meta-Regression for population-adjusted treatment comparisons}, author = {David M. Phillippo and Sofia Dias and A. E. Ades and Mark Belger and Alan Brnabic and Alexander Schacht and Daniel Saure and Zbigniew Kadziola and Nicky J. Welton}, year = {2020}, doi = {10.1111/rssa.12579}, journal = {Journal of the Royal Statistical Society: Series A (Statistics in Society)}, volume = {183}, number = {3}, pages = {1189-1210}, }
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.