ROB-MEN: a tool to assess risk of bias due to missing evidence in network meta-analysis
Abstract Background Selective outcome reporting and publication bias threaten the validity of systematic reviews and meta-analyses and can affect clinical decision-making. A rigorous method to evaluate the impact of this bias on the results of network meta-analyses of interventions is lacking. We pr...
Guardado en:
Autores principales: | Virginia Chiocchia, Adriani Nikolakopoulou, Julian P. T. Higgins, Matthew J. Page, Theodoros Papakonstantinou, Andrea Cipriani, Toshi A. Furukawa, George C. M. Siontis, Matthias Egger, Georgia Salanti |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
BMC
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/af7fbc13918d4832b3b3f478dd49a8f1 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Reflexiones sobre la evidencia en medicina
por: Muñoz C,Félix, et al.
Publicado: (2005) -
Sources of bias in genetic association studies of cattle: a review
por: José L. Zepeda Batista, et al.
Publicado: (2018) -
Modeling, Quantifying and Visualizing Media Bias on Twitter
por: Anam Zahid, et al.
Publicado: (2020) -
Agency and
self-other asymmetries in perceived bias and shortcomings: Replications of the
Bias Blind Spot and link to free will beliefs
por: Subramanya Prasad Chandrashekar, et al.
Publicado: (2021) -
Gender Bias in Artificial Intelligence: Severity Prediction at an Early Stage of COVID-19
por: Heewon Chung, et al.
Publicado: (2021)