Published March 16, 2022
| Version 0.4.1
Software
Open
MBNMAdose: Dose-response Model-Based Network Meta-Analysis
Contributors
- 1. University of Seville
- 2. Shanghai University of Traditional Chinese Medicine
Description
Fits Bayesian dose-response model-based network meta-analysis (MBNMA) that incorporate multiple doses within an agent by modelling different dose-response functions, as described by Mawdsley et al. (2016) <doi:10.1002/psp4.12091>. By modelling dose-response relationships this can connect networks of evidence that might otherwise be disconnected, and can improve precision on treatment estimates. Several common dose-response functions are provided; others may be added by the user. Various characteristics and assumptions can be flexibly added to the models, such as shared class effects, and there are a number of informative plots and outputs to explore model results and assumptions.
Files
MBNMAdose_0.4.1.zip
Files
(118.0 MB)
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Additional details
Related works
- Cites
- Journal article: 10.1177/0272989X20983315 (DOI)
- Journal article: 10.1002/sim.9270 (DOI)
- Journal article: 10.1002/psp4.12091 (DOI)
Funding
- UK Research and Innovation
- MICA: Model Based Network Meta-Analysis for Pharmacometrics and Drug-Development MR/M005615/1
- UK Research and Innovation
- HOD1: Inferring relative treatment effects from combined randomised and observational data MR/R025223/1