MBNMAdose: Run Dose-Response MBNMA Models

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. The consistency of direct and indirect evidence in the network can be assessed using unrelated mean effects models and/or by node-splitting at the treatment level.

Package details

AuthorHugo Pedder [aut, cre], David Mawdsley [rev], Nicky Welton [rev], Sofia Dias [rev], Meg Bennetts [rev], Martin Boucher [rev], Adil Karim [ctb]
MaintainerHugo Pedder <[email protected]>
LicenseGPL-3
Version0.2.4
URL https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4999602/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("MBNMAdose")

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MBNMAdose documentation built on Oct. 8, 2019, 5:05 p.m.