Evaluation of a new version of I2 with emphasis on diagnostic problems
Evaluation of a new version of I2 with emphasis on diagnostic problems
This paper describes results stemming from an in-depth analysis of Higgins’ measure of heterogeneity for a meta-analysis applied in the context of meta-analysis for diagnostic problems. Higgins measure of heterogeneity I2 has been criticized for being confounded by the study-specific sample size, in the sense that different I2 –values can be achieved for the same value of across-study variance if only the study-specific variance is varying enough. In particular, I2 approaches one for any value of the heterogeneity variance (variance across studies) if the within-study variance becomes large. The paper proposes a measure which is unconfounded by sample size. It is essentially a philosophical question which heterogeneity measure is chosen. Nevertheless, a detailed simulation study has been launched and the results indicate that the newly suggest measure of heterogeneity has beneficial statistical properties. Both measures are also exemplified at hand of some meta-analytic case studies.
Holling, Heinz
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Bohning, Walailuck
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Masoudi, Ehsan
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Bohning, Dankmar
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Sangnawakij, Patarawan
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Holling, Heinz
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Bohning, Walailuck
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Masoudi, Ehsan
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Bohning, Dankmar
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Sangnawakij, Patarawan
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Holling, Heinz, Bohning, Walailuck, Masoudi, Ehsan, Bohning, Dankmar and Sangnawakij, Patarawan
(2019)
Evaluation of a new version of I2 with emphasis on diagnostic problems.
Communications in Statistics - Simulation and Computation.
(doi:10.1080/03610918.2018.1489553).
Abstract
This paper describes results stemming from an in-depth analysis of Higgins’ measure of heterogeneity for a meta-analysis applied in the context of meta-analysis for diagnostic problems. Higgins measure of heterogeneity I2 has been criticized for being confounded by the study-specific sample size, in the sense that different I2 –values can be achieved for the same value of across-study variance if only the study-specific variance is varying enough. In particular, I2 approaches one for any value of the heterogeneity variance (variance across studies) if the within-study variance becomes large. The paper proposes a measure which is unconfounded by sample size. It is essentially a philosophical question which heterogeneity measure is chosen. Nevertheless, a detailed simulation study has been launched and the results indicate that the newly suggest measure of heterogeneity has beneficial statistical properties. Both measures are also exemplified at hand of some meta-analytic case studies.
Text
Mea_Strength_Sim_R2
- Accepted Manuscript
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Accepted/In Press date: 10 June 2018
e-pub ahead of print date: 24 January 2019
Identifiers
Local EPrints ID: 421517
URI: http://eprints.soton.ac.uk/id/eprint/421517
ISSN: 0361-0918
PURE UUID: f8b221c8-0276-4c76-aafd-57e39954b413
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Date deposited: 14 Jun 2018 16:30
Last modified: 09 Jan 2022 03:37
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Contributors
Author:
Heinz Holling
Author:
Walailuck Bohning
Author:
Ehsan Masoudi
Author:
Patarawan Sangnawakij
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