Demystifying trial networks and network meta-analysis
By E. Mills, K. Thorlund, John P. A. Ioannidis. British medical journal, 2013
692 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/df11f5665433ff5a75527d7c440afa6324ecbf19
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistics and Probability
- Georgia Salanti
- Ian R. White
- Johannes B Reitsma
- Karel G. M. Moons
- T. Debray
- G. van Valkenhoef
- O. Efthimiou
- S. Trelle
Citations in the corpus
- Network Meta-analysis (2015, background): “Good general introductions are given by Mills, Thorlund, and Ioannidis (2013) for the concepts and Salanti et al. (2008) for the statistical methods.”
- Approaches to interpreting and choosing the best treatments in network meta-analyses (2017, background): “A solution to the multiple alternative problem that uses an entire body of evidence with all available direct and indirect comparisons—termed network meta-analysis (NMA) or multiple treatment comparison meta-analysis—is seeing increasing use [5].”
- Network Meta-Analysis: An Introduction for Clinicians (2016, neutral): “Prior to data analysis, it is important to understand the geometry of the network [13, 16].”
- GetReal in network meta‐analysis: a review of the methodology (2016, methodology): “2009; EUnetHTA, 2013; Hoaglin et al., 2011; Ioannidis, 2009; Jansen et al., 2008, 2011a; Malone, 2007; Mills et al., 2011a, 2013b; Naci and Fleurence, 2011; Salanti, 2012; Sutton et al., 2008, 2009; Wells et al., 2009; Welton et al., 2012), which have also been explored in empirical assessments…”
- Ranking treatments in frequentist network meta-analysis works without resampling methods (2015, neutral): “de Institute for Medical Biometry and Statistics, Medical Center – University of Freiburg, Stefan-Meier-Strasse 26, 79104 Freiburg, Germany to their comparative effectiveness [6–9].”
- State of the art review: the data revolution in critical care (2015, background): “But 65 years after the first RCT was published, only 10 – 20% of medical decisions are based on RCT-supported evidence [11].”