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Using mixed treatment comparisons and meta‐regression to perform indirect comparisons to estimate the efficacy of biologic treatments in rheumatoid arthritis

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References

2002How should meta‐regression analyses be undertaken and interpreted?3,021 cited
2004Combination of direct and indirect evidence in mixed treatment comparisons2,168 cited
2002Network meta‐analysis for indirect treatment comparisons1,204 cited

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2008Biologic drugs for rheumatoid arthritis in the medicare program: A cost‐effectiveness analysis138 cited
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2007Modelling the cost effectiveness of TNF- antagonists in the management of rheumatoid arthritis: results from the British Society for Rheumatology Biologics Registry122 cited
2013Incorporating data from various trial designs into a mixed treatment comparison model121 cited
2007Meta‐analysis of mixed treatment comparisons at multiple follow‐up times117 cited
2012Mixed treatment comparisons using aggregate and individual participant level data116 cited
2010Evaluating novel agent effects in multiple‐treatments meta‐regression111 cited
2015Simulation and Matching-Based Approaches for Indirect Comparison of Treatments

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110 cited

2013A Bayesian network meta-analysis for binary outcome: how to do it98 cited

2012Combining individual patient data and aggregate data in mixed treatment comparison meta‐analysis: Individual patient data may be beneficial if only for a subset of trials95 cited

2011Multiple treatment comparison meta-analyses: a step forward into complexity92 cited

2012Meta-regression models to address heterogeneity and inconsistency in network meta-analysis of survival outcomes92 cited

2012Simulation evaluation of statistical properties of methods for indirect and mixed treatment comparisons92 cited

2012Linear inference for mixed treatment comparison meta‐analysis: a two‐stage approach85 cited