multinma: Bayesian Network Meta-Analysis of Individual and Aggregate Data

David M Phillippo

doi:10.5281/zenodo.3904454

multinma: Bayesian Network Meta-Analysis of Individual and Aggregate Data

Research output: Non-textual form › Software

Abstract

Network meta-analysis and network meta-regression models for aggregate data, individual patient data, and mixtures of both individual and aggregate data using multilevel network meta-regression as described by Phillippo et al. (2020) <doi:10.1111/rssa.12579>. Models are estimated in a Bayesian framework using Stan.

Original language	English
DOIs	https://doi.org/10.5281/zenodo.3904454
Publication status	Published - 30 Jun 2020

Access to Document

10.5281/zenodo.3904454

Handle.net

Persistent link

Cite this

@misc{0cb061c8b0154d409f40d64cc0a5fbd1,

title = "multinma: Bayesian Network Meta-Analysis of Individual and Aggregate Data",

abstract = "Network meta-analysis and network meta-regression models for aggregate data, individual patient data, and mixtures of both individual and aggregate data using multilevel network meta-regression as described by Phillippo et al. (2020) . Models are estimated in a Bayesian framework using Stan.",

author = "Phillippo, {David M}",

year = "2020",

month = jun,

day = "30",

doi = "10.5281/zenodo.3904454",

language = "English",

}

TY - ADVS

T1 - multinma: Bayesian Network Meta-Analysis of Individual and Aggregate Data

AU - Phillippo, David M

PY - 2020/6/30

Y1 - 2020/6/30

N2 - Network meta-analysis and network meta-regression models for aggregate data, individual patient data, and mixtures of both individual and aggregate data using multilevel network meta-regression as described by Phillippo et al. (2020) . Models are estimated in a Bayesian framework using Stan.

AB - Network meta-analysis and network meta-regression models for aggregate data, individual patient data, and mixtures of both individual and aggregate data using multilevel network meta-regression as described by Phillippo et al. (2020) . Models are estimated in a Bayesian framework using Stan.

UR - https://cran.r-project.org/package=multinma

UR - https://github.com/dmphillippo/multinma

UR - https://dmphillippo.github.io/multinma/

U2 - 10.5281/zenodo.3904454

DO - 10.5281/zenodo.3904454

M3 - Software

ER -

multinma: Bayesian Network Meta-Analysis of Individual and Aggregate Data

Abstract

Access to Document

Handle.net

Other files and links

Fingerprint

Methods Explained: Multilevel network meta-regression

Multinma: A comprehensive R package for network meta-analysis of survival outcomes with aggregate data, individual patient data, or a mixture of both

multinma: a comprehensive R package for Bayesian network meta-analysis with aggregate data, individual patient data, or a mixture of both

8071 MRC via York - HOD1: Inferring relative treatment effects from combined randomised and oberservational data

No Pfizer: Calibration of multiple treatment comparisons using individual patient data

Calibration of Treatment Effects in Network Meta-Analysis using Individual Patient Data

Cite this

multinma: Bayesian Network Meta-Analysis of Individual and Aggregate Data

Abstract

Access to Document

Handle.net

Other files and links

Fingerprint

Research output

Methods Explained: Multilevel network meta-regression

Multinma: A comprehensive R package for network meta-analysis of survival outcomes with aggregate data, individual patient data, or a mixture of both

multinma: a comprehensive R package for Bayesian network meta-analysis with aggregate data, individual patient data, or a mixture of both

Projects

8071 MRC via York - HOD1: Inferring relative treatment effects from combined randomised and oberservational data

No Pfizer: Calibration of multiple treatment comparisons using individual patient data

Student theses

Calibration of Treatment Effects in Network Meta-Analysis using Individual Patient Data

Cite this