multinma
Bayesian Network Meta-Analysis of Individual and Aggregate Data
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'.
- Version0.7.2
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- multinma citation info
- Last release09/16/2024
Documentation
- VignetteOverview of Examples
- VignetteExample: Atrial fibrillation
- VignetteExample: BCG vaccine for tuberculosis
- VignetteExample: Beta blockers
- VignetteExample: Diabetes
- VignetteExample: Dietary fat
- VignetteExample: Plaque psoriasis HTA report
- VignetteExample: Newly diagnosed multiple myeloma
- VignetteExample: Parkinson's disease
- VignetteExample: Plaque psoriasis ML-NMR
- VignetteExample: Smoking cessation
- VignetteExample: Statins for cholesterol lowering
- VignetteExample: Thrombolytic treatments
- VignetteExample: White blood cell transfusion
- MaterialREADME
- MaterialNEWS
- In ViewsMetaAnalysis
Team
David M. Phillippo
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- Imports23 packages
- Suggests15 packages
- Linking To6 packages