Network meta-analysis and meta-regression (allows including up to three covariates) for individual participant data, aggregate data, and mixtures of both formats using the three-level hierarchical model. Each format can come from randomized controlled trials or non-randomized studies or mixtures of both. Estimates are generated in a Bayesian framework using JAGS. The implemented models are described by Hamza et al. 2023 <DOI:10.1002/jrsm.1619>.
Package details |
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Author | Tasnim Hamza [aut] (<https://orcid.org/0000-0002-4700-6990>), Guido Schwarzer [aut, cre] (<https://orcid.org/0000-0001-6214-9087>), Georgia Salanti [aut] (<https://orcid.org/0000-0002-3830-8508>) |
Maintainer | Guido Schwarzer <guido.schwarzer@uniklinik-freiburg.de> |
License | GPL (>=2) |
Version | 1.3.0 |
URL | https://github.com/htx-r/crossnma |
Package repository | View on GitHub |
Installation |
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