2019
DOI: 10.1002/jrsm.1377
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The dark side of the force: Multiplicity issues in network meta‐analysis and how to address them

Abstract: Standard models for network meta-analysis simultaneously estimate multiple relative treatment effects. In practice, after estimation, these multiple estimates usually pass through a formal or informal selection procedure, eg, when researchers draw conclusions about the effects of the best performing treatment in the network. In this paper, we present theoretical arguments as well as results from simulations to illustrate how such practices might lead to exaggerated and overconfident statements regarding relati… Show more

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Cited by 31 publications
(19 citation statements)
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“…Our readers should also note that although we use P‐values to communicate uncertainty, we do not use or promote the concept of “statistical significance,” that is, we have avoided dichotomizing the evidence as significant or not according to an arbitrary threshold, such as P ‐value = .05 or any other value. Statistical significance has been a target for much criticism in science in general, 20 and especially for NMA 21 . We hereby also recommend meta‐analysts to avoid using it to characterize NMA results.…”
Section: Discussionmentioning
confidence: 97%
See 1 more Smart Citation
“…Our readers should also note that although we use P‐values to communicate uncertainty, we do not use or promote the concept of “statistical significance,” that is, we have avoided dichotomizing the evidence as significant or not according to an arbitrary threshold, such as P ‐value = .05 or any other value. Statistical significance has been a target for much criticism in science in general, 20 and especially for NMA 21 . We hereby also recommend meta‐analysts to avoid using it to characterize NMA results.…”
Section: Discussionmentioning
confidence: 97%
“…Statistical significance has been a target for much criticism in science in general, 20 and especially for NMA. 21 We hereby also recommend meta-analysts to avoid using it to characterize NMA results.…”
Section: Discussionmentioning
confidence: 99%
“…Recent publications have highlighted problems with null hypothesis testing, 51 , 52 particularly in network meta-analysis. 53 Therefore, we did not use the concept of statistical significance when presenting or discussing results from network meta-analyses but instead focused on the clinical interpretation in relation to the corresponding point estimates and their respective confidence intervals.…”
Section: Methodsmentioning
confidence: 99%
“…Multiplicity issues were accounted for by using a symmetric random-effects NMA model with exchangeable treatment effects [26], which have been shown to fit well when there is no obvious placebo or other reference treatment in the network, as it was the case in the present analysis.…”
Section: Unadjusted Bayesian Nmamentioning
confidence: 95%
“…Standard NMA models usually do not account for multiple comparisons in estimating relative treatment effects, which might lead to exaggerated and overconfident statements regarding relative treatment effects. The present analysis therefore applied the Bayesian approximation to reduce that problem described by Efthimiou and White [26], where treatment effects are modelled exchangeable, and hence estimates are shrunk away from large values.…”
Section: Limitationsmentioning
confidence: 99%