Published March 16, 2022 | Version 0.4.1
Software Open

MBNMAdose: Dose-response Model-Based Network Meta-Analysis

Authors/Creators

  • 1. University of Bristol
  • 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)

Name Size Download all
md5:05de03bfe2d7035ea7744b9d914353e3
118.0 MB Preview Download

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