Bayesian network meta-analysis methods for combining individual participant data and aggregate data from single arm trials and randomised controlled trials

BACKGROUND: Increasingly in network meta-analysis (NMA), there is a need to incorporate non-randomised evidence to estimate relative treatment effects, and in particular in cases with limited randomised evidence, sometimes resulting in disconnected networks of treatments. When combining different so...

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Detalles Bibliográficos
Autores principales: Singh, Janharpreet, Gsteiger, Sandro, Wheaton, Lorna, Riley, Richard D., Abrams, Keith R., Gillies, Clare L., Bujkiewicz, Sylwia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9275254/
https://www.ncbi.nlm.nih.gov/pubmed/35818035
http://dx.doi.org/10.1186/s12874-022-01657-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9275254/
https://www.ncbi.nlm.nih.gov/pubmed/35818035
http://dx.doi.org/10.1186/s12874-022-01657-y

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