Cargando…
The Kilim plot: A tool for visualizing network meta‐analysis results for multiple outcomes
Network meta‐analysis (NMA) can be used to compare multiple competing treatments for the same disease. In practice, usually a range of outcomes is of interest. As the number of outcomes increases, summarizing results from multiple NMAs becomes a nontrivial task, especially for larger networks. Moreo...
Autores principales: | Seo, Michael, Furukawa, Toshi A., Veroniki, Areti Angeliki, Pillinger, Toby, Tomlinson, Anneka, Salanti, Georgia, Cipriani, Andrea, Efthimiou, Orestis |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818463/ https://www.ncbi.nlm.nih.gov/pubmed/32524754 http://dx.doi.org/10.1002/jrsm.1428 |
Ejemplares similares
-
Personalise antidepressant treatment for unipolar depression combining individual choices, risks and big data (PETRUSHKA): rationale and protocol
por: Tomlinson, Anneka, et al.
Publicado: (2020) -
Vitruvian plot: a visualisation tool for multiple outcomes in network meta-analysis
por: Ostinelli, Edoardo Giuseppe, et al.
Publicado: (2022) -
Visualizing the evolution of evidence: Cumulative network meta‐analyses of new generation antidepressants in the last 40 years
por: Luo, Yan, et al.
Publicado: (2020) -
Development and validation of a meta-learner for combining statistical and machine learning prediction models in individuals with depression
por: Liu, Qiang, et al.
Publicado: (2022) -
Predicting outcomes at the individual patient level: what is the best method?
por: Liu, Qiang, et al.
Publicado: (2023)