Cargando…
Bias in identification of the best treatment in a Bayesian network meta-analysis for binary outcome: a simulation study
Network meta-analysis (NMA) has emerged as a useful analytical tool allowing comparison of multiple treatments based on direct and indirect evidence. Commonly, a hierarchical Bayesian NMA model is used, which allows rank probabilities (the probability that each treatment is best, second best, and so...
Autores principales: | Kibret, Taddele, Richer, Danielle, Beyene, Joseph |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4259556/ https://www.ncbi.nlm.nih.gov/pubmed/25506247 http://dx.doi.org/10.2147/CLEP.S69660 |
Ejemplares similares
-
Network Meta-Analysis Using R: A Review of Currently Available Automated Packages
por: Neupane, Binod, et al.
Publicado: (2014) -
An empirical comparison of Bayesian modelling strategies for missing binary outcome data in network meta-analysis
por: Spineli, Loukia M.
Publicado: (2019) -
Bayesian Methods for Meta-Analyses of Binary Outcomes: Implementations, Examples, and Impact of Priors
por: Al Amer, Fahad M., et al.
Publicado: (2021) -
Comparison of population-averaged and cluster-specific models for the analysis of cluster randomized trials with missing binary outcomes: a simulation study
por: Ma, Jinhui, et al.
Publicado: (2013) -
A modified regression method to test publication bias in meta-analyses with binary outcomes
por: Jin, Zhi-Chao, et al.
Publicado: (2014)