Cargando…
Identifying inconsistency in network meta‐analysis: Is the net heat plot a reliable method?
One of the biggest challenges for network meta‐analysis is inconsistency, which occurs when the direct and indirect evidence conflict. Inconsistency causes problems for the estimation and interpretation of treatment effects and treatment contrasts. Krahn and colleagues proposed the net heat approach...
Autores principales: | Freeman, Suzanne C., Fisher, David, White, Ian R., Auperin, Anne, Carpenter, James R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6899484/ https://www.ncbi.nlm.nih.gov/pubmed/31647136 http://dx.doi.org/10.1002/sim.8383 |
Ejemplares similares
-
Consistency and inconsistency in network meta-analysis: model estimation using multivariate meta-regression‡
por: White, Ian R, et al.
Publicado: (2012) -
A design-by-treatment interaction model for network meta-analysis with random inconsistency effects
por: Jackson, Dan, et al.
Publicado: (2014) -
The design‐by‐treatment interaction model: a unifying framework for modelling loop inconsistency in network meta‐analysis
por: Jackson, Dan, et al.
Publicado: (2015) -
NetPlotBrain: A Python package for visualizing networks and brains
por: Fanton, Silvia, et al.
Publicado: (2023) -
Extending DerSimonian and Laird's methodology to perform network meta‐analyses with random inconsistency effects
por: Jackson, Dan, et al.
Publicado: (2016)