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Two new methods to fit models for network meta-analysis with random inconsistency effects

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2015

Visualizing Assumptions and Results in Network Meta-analysis: The Network Graphs Package

324 cited

2014A design‐by‐treatment interaction model for network meta‐analysis with random inconsistency effects307 cited

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2018Estimating the variance for heterogeneity in arm‐based network meta‐analysis31 cited
2017Deriving percentage study weights in multi-parameter meta-analysis models: with application to meta-regression, network meta-analysis and one-stage individual participant data models28 cited
2018A matrix-based method of moments for fitting multivariate network meta-analysis models with multiple outcomes and random inconsistency effects.27 cited
2020A simulation study to compare different estimation approaches for network meta-analysis and corresponding methods to evaluate the consistency assumption25 cited
2018Assessing the consistency assumptions underlying network meta‐regression using aggregate data22 cited
2018Hypothesis testing in Bayesian network meta-analysis21 cited
2018A framework for identifying treatment‐covariate interactions in individual participant data network meta‐analysis15 cited
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