The design-by-treatment interaction model: a unifying framework for modelling loop inconsistency in network meta-analysis

被引：41

作者：

Jackson, Dan ^{[1
]}

Boddington, Paul ^{[1
]}

White, Ian R. ^{[1
]}

机构：

[1] MRC, Biostat Unit, Cambridge CB2 2BW, England

来源：

RESEARCH SYNTHESIS METHODS | 2016年 / 7卷 / 03期

基金：

英国医学研究理事会;

关键词：

CONSISTENCY;

D O I：

10.1002/jrsm.1188

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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. (C) 2015 The Authors. Research Synthesis Methods published by John Wiley & Sons, Ltd.

引用

页码：329 / 332

页数：4

共 5 条

[1] Consistency and inconsistency in network meta-analysis: concepts and models for multi-arm studies
Higgins, J. P. T.
Jackson, D.
Barrett, J. K.
Lu, G.
Ades, A. E.
White, I. R.
[J]. RESEARCH SYNTHESIS METHODS, 2012, 3 (02) : 98 - 110
[2] A design-by-treatment interaction model for network meta-analysis with random inconsistency effects
Jackson, Dan
Barrett, Jessica K.
Rice, Stephen
White, Ian R.
Higgins, Julian P. T.
[J]. STATISTICS IN MEDICINE, 2014, 33 (21) : 3639 - 3654
[3] Assessing evidence inconsistency in mixed treatment comparisons
Lu, Guobing
Ades, A. E.
[J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2006, 101 (474) : 447 - 459
[4] Indirect and mixed-treatment comparison, network, or multiple-treatments meta-analysis: many names, many benefits, many concerns for the next generation evidence synthesis tool
Salanti, Georgia
[J]. RESEARCH SYNTHESIS METHODS, 2012, 3 (02) : 80 - 97
[5] Consistency and inconsistency in network meta-analysis: model estimation using multivariate meta-regression
White, Ian R.
Barrett, Jessica K.
Jackson, Dan
Higgins, Julian P. T.
[J]. RESEARCH SYNTHESIS METHODS, 2012, 3 (02) : 111 - 125

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