Evaluation of networks of randomized trials

By Georgia Salanti, Julian P. T. Higgins, A. Ades, John P. A. Ioannidis. Statistical Methods in Medical Research, 2008

1,047 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/9e5859f7f7a76849b6441bf9c362d274aeb5660d

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In Experimental and Cognitive Psychology

In Statistics and Probability

Citations in the corpus

A graphical tool for locating inconsistency in network meta-analyses (2013, methodology): “Another method to assess inconsistency is to set up a mixed model with a sparse covariance structure that allows for one extra variance component to capture inconsistency; this was performed in a classical likelihood framework [8] and in a Bayesian framework [9,13].”
Network Meta-analysis (2015, methodology): “Good general introductions are given by Mills, Thorlund, and Ioannidis (2013) for the concepts and Salanti et al. (2008) for the statistical methods.”
The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009, methodology): “Network meta-analyses, also known as multiple treatments meta-analyses, can be used to analyze data from comparisons of many different treatments [176,177].”
netmeta: An R Package for Network Meta-Analysis Using Frequentist Methods (2023, neutral): “Bayesian methods for NMA play an important role both in methodological research and applications (Lu and Ades 2004; Salanti, Higgins, Ades, and Ioannidis 2008; Welton, Caldwell, Adamopoulos, and Vedhara 2009).”
Consistency and inconsistency in network meta-analysis: concepts and models for multi-arm studies (2012, methodology): “Statistical conflicts of this nature have been termed incoherence (Lumley, 2002; Ioannidis, 2009) or inconsistency (Lu and Ades, 2006; Salanti et al., 2008) in the literature and are the principal topic of this paper.”
Automating network meta‐analysis (2012, methodology): “The extension to continuous variables (Salanti et al ., 2008) is discussed thereafter.”
The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009, methodology): “Network meta-analyses, also known as multiple treatments meta-analyses, can be used to analyze data from comparisons of many different treatments [176,177].”
Is network meta-analysis as valid as standard pairwise meta-analysis? It all depends on the distribution of effect modifiers (2013, neutral): “means of network meta-analysis [8].”
Graphical Tools for Network Meta-Analysis in STATA (2013, background): “Thus, in the presence of multi-arm trials, researchers have often preferred to perform NMA in a Bayesian framework that offers more flexibility [21,22].”
Network Meta-Analysis: An Introduction for Clinicians (2016, methodology): “Examples of commonly used models include the multivariate model [18, 19] or hierarchical model [20, 21].”
Multivariate Random-effects Meta-regression: Updates to Mvmeta (2011, methodology): “This can be done by forcing Σ to be proportional to the matrix P defined below (Salanti et al. 2008): . mat P = I(3) + J(3,3,1) . mat l P symmetric P[3,3] c1 c2 c3 r1 2 r2 1 2 r3 1 1 2 . mvmeta y S, bscov(prop P) Note: using method reml Regressing yB on Regressing yC on Regressing yD on Note: using…”
Reasons or excuses for avoiding meta-analysis in forest plots (2008, methodology): “The number of possible comparisons is prohibitive. A meta-analysis grouped these regimens into 12 treatment types and then performed a network analysis that evaluated their relative effectiveness. Instead of taking one comparison at a time, the network considered concomitantly all the data from all ”