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Sofi-Mahmudi A, Chandler C (2026). mlumr: Multilevel Unanchored Meta-Regression for Indirect Treatment Comparisons. R package version 0.1.0. An adaptation of the ML-NMR methodology to the unanchored case; built on conventions established by the 'multinma' package (Phillippo et al., GPL-3)., https://github.com/choxos/mlumr.
Phillippo D (2020). multinma: Bayesian Network Meta-Analysis of Individual and Aggregate Data. doi:10.5281/zenodo.3904454. R package, GPL-3. The ML-NMR reference implementation that mlumr adapts to the unanchored case., https://dmphillippo.github.io/multinma/.
Chandler C, Ishak J (2025). “Anchors Away: Navigating Unanchored Indirect Comparisons With Multilevel Unanchored Meta-Regression (ML-UMR).” Value in Health, 28, S498. ISPOR Europe 2025 poster, MSR28, https://www.valueinhealthjournal.com/article/S1098-3015(25)05944-3/abstract.
Chandler C, Ishak J (2026). “Surviving Unanchored Indirect Comparisons: An Extension of Multilevel Unanchored Meta-Regression (ML-UMR) for Survival Analyses.” Value in Health, 29(S6). ISPOR 2026 poster, MSR131, https://www.ispor.org/heor-resources/presentations-database/presentation-cti/ispor-2026/poster-session-3-3/surviving-unanchored-indirect-comparisons-an-extension-of-multilevel-unanchored-meta-regression-ml-umr-for-survival-analyses.
Phillippo D, Dias S, Ades A, Belger M, Brnabic A, Schacht A, Saure D, Kadziola Z, Welton N (2020). “Multilevel Network Meta-Regression for population-adjusted treatment comparisons.” Journal of the Royal Statistical Society: Series A, 183(3), 1189–1210. doi:10.1111/rssa.12579.
Corresponding BibTeX entries:
@Manual{,
title = {mlumr: Multilevel Unanchored Meta-Regression for Indirect
Treatment Comparisons},
author = {Ahmad Sofi-Mahmudi and Conor Chandler},
year = {2026},
note = {R package version 0.1.0. An adaptation of the ML-NMR
methodology to the unanchored case; built on conventions
established by the 'multinma' package (Phillippo et al.,
GPL-3).},
url = {https://github.com/choxos/mlumr},
}
@Manual{,
title = {multinma: Bayesian Network Meta-Analysis of Individual and
Aggregate Data},
author = {David M. Phillippo},
year = {2020},
note = {R package, GPL-3. The ML-NMR reference implementation that
mlumr adapts to the unanchored case.},
url = {https://dmphillippo.github.io/multinma/},
doi = {10.5281/zenodo.3904454},
}
@Article{,
title = {Anchors Away: Navigating Unanchored Indirect Comparisons
With Multilevel Unanchored Meta-Regression (ML-UMR)},
author = {Conor Chandler and Jack Ishak},
journal = {Value in Health},
year = {2025},
volume = {28},
pages = {S498},
note = {ISPOR Europe 2025 poster, MSR28},
url =
{https://www.valueinhealthjournal.com/article/S1098-3015(25)05944-3/abstract},
}
@Article{,
title = {Surviving Unanchored Indirect Comparisons: An Extension of
Multilevel Unanchored Meta-Regression (ML-UMR) for Survival
Analyses},
author = {Conor Chandler and Jack Ishak},
journal = {Value in Health},
year = {2026},
volume = {29},
number = {S6},
note = {ISPOR 2026 poster, MSR131},
url =
{https://www.ispor.org/heor-resources/presentations-database/presentation-cti/ispor-2026/poster-session-3-3/surviving-unanchored-indirect-comparisons-an-extension-of-multilevel-unanchored-meta-regression-ml-umr-for-survival-analyses},
}
@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},
journal = {Journal of the Royal Statistical Society: Series A},
year = {2020},
volume = {183},
number = {3},
pages = {1189--1210},
doi = {10.1111/rssa.12579},
}
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