Network meta‐analysis, electrical networks and graph theory
By Gerta Rücker. Research Synthesis Methods, 2012
637 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Experimental and Cognitive Psychology, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/ab9accbaf61438bf518de0af0946f4bf12b7e158
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
In Experimental and Cognitive Psychology
- Georgia Salanti
- U. Krahn
- Harald Binder
- Jochem König
- O. Efthimiou
- Gerta Rücker
- S. Shim
- Seong-Jang Kim
In Molecular Biology
Citations in the corpus
- Network meta-analysis: application and practice using R software (2019, methodology): “However, the R “netmeta” package uses an electrical network model, which changed it slightly [8,9].”
- GetReal in network meta‐analysis: a review of the methodology (2016, methodology): “Rücker (2012) described the analogy between NMA and electrical networks and applied graph-theoretical methods to perform a fixed-effects NMA.”
- A graphical tool for locating inconsistency in network meta-analyses (2013, methodology): “This estimation can equivalently be performed in two steps (as discussed in [18,23]).”
- netmeta: An R Package for Network Meta-Analysis Using Frequentist Methods (2023, positive): “Three NMA methods for binary outcomes are available: NCH-NMA ( method = "NCH" ), MH-NMA ( "MH" , default), and the standard NMA model ( "Inverse" ) by Rücker (2012).”
- Comparative effects of 18 antipsychotics on metabolic function in patients with schizophrenia, predictors of metabolic dysregulation, and association with psychopathology: a systematic review and network meta-analysis (2020, background): “0-1).(13,14) Network plots will be generated using the”