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The design‐by‐treatment interaction model: a unifying framework for modelling loop inconsistency in network meta‐analysis
In this note, we clarify and prove the claim made Higgins et al. (2012) that the design‐by‐treatment interaction model contains all possible loop inconsistency models. This claim provides a strong argument for using the design‐by‐treatment interaction model to describe loop inconsistencies in networ...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4946625/ https://www.ncbi.nlm.nih.gov/pubmed/26588593 http://dx.doi.org/10.1002/jrsm.1188 |
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author | Jackson, Dan Boddington, Paul White, Ian R. |
author_facet | Jackson, Dan Boddington, Paul White, Ian R. |
author_sort | Jackson, Dan |
collection | PubMed |
description | In this note, we clarify and prove the claim made Higgins et al. (2012) that the design‐by‐treatment interaction model contains all possible loop inconsistency models. This claim provides a strong argument for using the design‐by‐treatment interaction model to describe loop inconsistencies in network meta‐analysis. © 2015 The Authors. Research Synthesis Methods published by John Wiley & Sons, Ltd. |
format | Online Article Text |
id | pubmed-4946625 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-49466252016-09-21 The design‐by‐treatment interaction model: a unifying framework for modelling loop inconsistency in network meta‐analysis Jackson, Dan Boddington, Paul White, Ian R. Res Synth Methods Method Notes In this note, we clarify and prove the claim made Higgins et al. (2012) that the design‐by‐treatment interaction model contains all possible loop inconsistency models. This claim provides a strong argument for using the design‐by‐treatment interaction model to describe loop inconsistencies in network meta‐analysis. © 2015 The Authors. Research Synthesis Methods published by John Wiley & Sons, Ltd. John Wiley and Sons Inc. 2015-11-20 2016-09 /pmc/articles/PMC4946625/ /pubmed/26588593 http://dx.doi.org/10.1002/jrsm.1188 Text en © 2015 The Authors. Research Synthesis Methods published by John Wiley & Sons, Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Method Notes Jackson, Dan Boddington, Paul White, Ian R. The design‐by‐treatment interaction model: a unifying framework for modelling loop inconsistency in network meta‐analysis |
title | The design‐by‐treatment interaction model: a unifying framework for modelling loop inconsistency in network meta‐analysis |
title_full | The design‐by‐treatment interaction model: a unifying framework for modelling loop inconsistency in network meta‐analysis |
title_fullStr | The design‐by‐treatment interaction model: a unifying framework for modelling loop inconsistency in network meta‐analysis |
title_full_unstemmed | The design‐by‐treatment interaction model: a unifying framework for modelling loop inconsistency in network meta‐analysis |
title_short | The design‐by‐treatment interaction model: a unifying framework for modelling loop inconsistency in network meta‐analysis |
title_sort | design‐by‐treatment interaction model: a unifying framework for modelling loop inconsistency in network meta‐analysis |
topic | Method Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4946625/ https://www.ncbi.nlm.nih.gov/pubmed/26588593 http://dx.doi.org/10.1002/jrsm.1188 |
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