Extending DerSimonian and Laird's methodology to perform network meta‐analyses with random inconsistency effects

Network meta‐analysis is becoming more popular as a way to compare multiple treatments simultaneously. Here, we develop a new estimation method for fitting models for network meta‐analysis with random inconsistency effects. This method is an extension of the procedure originally proposed by DerSimon...

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Detalles Bibliográficos
Autores principales: Jackson, Dan, Law, Martin, Barrett, Jessica K., Turner, Rebecca, Higgins, Julian P. T., Salanti, Georgia, White, Ian R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4973704/
https://www.ncbi.nlm.nih.gov/pubmed/26423209
http://dx.doi.org/10.1002/sim.6752

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4973704/
https://www.ncbi.nlm.nih.gov/pubmed/26423209
http://dx.doi.org/10.1002/sim.6752

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