Jackson, D;
Law, M;
Barrett, JK;
Turner, R;
Higgins, JPT;
Salanti, G;
White, IR;
(2015)
Extending DerSimonian and Laird's methodology to perform network meta-analyses with random inconsistency effects.
Statistics in Medicine
, 35
(6)
pp. 819-839.
10.1002/sim.6752.
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Abstract
Network meta‐analysis is becoming more popular as a way to compare multiple treatments simultaneously. Here, we develop a new estimation method for fitting models for network meta‐analysis with random inconsistency effects. This method is an extension of the procedure originally proposed by DerSimonian and Laird. Our methodology allows for inconsistency within the network. The proposed procedure is semi‐parametric, non‐iterative, fast and highly accessible to applied researchers. The methodology is found to perform satisfactorily in a simulation study provided that the sample size is large enough and the extent of the inconsistency is not very severe. We apply our approach to two real examples.
| Type: | Article |
|---|---|
| Title: | Extending DerSimonian and Laird's methodology to perform network meta-analyses with random inconsistency effects |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/sim.6752 |
| Publisher version: | https://doi.org/10.1002/sim.6752 |
| Language: | English |
| Additional information: | © 2015 The Authors. Statistics in Medicine Published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | method of moments, mixed treatment comparisons, multiple treatments meta‐analysis, network meta‐analys |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology > MRC Clinical Trials Unit at UCL |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10056390 |
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