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Extending DerSimonian and Laird's methodology to perform network meta‐analyses with random inconsistency effects
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 DerSimon...
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| 出版年: | Stat Med |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
John Wiley and Sons Inc.
2016
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4973704/ https://ncbi.nlm.nih.gov/pubmed/26423209 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.6752 |
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