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Evaluation of a new version of I2 with emphasis on diagnostic problems

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.
0361-0918
Holling, Heinz
4f0c7a5e-ae1d-4ecf-b341-250998033221
Bohning, Walailuck
4d2abe7f-ae5e-4df1-903f-086366664de6
Masoudi, Ehsan
6eab85f5-60f2-4111-9fa0-b81b6c440ca8
Bohning, Dankmar
1df635d4-e3dc-44d0-b61d-5fd11f6434e1
Sangnawakij, Patarawan
3baba4ef-a7c4-42d4-b9c2-a363ad9981a1
Holling, Heinz
4f0c7a5e-ae1d-4ecf-b341-250998033221
Bohning, Walailuck
4d2abe7f-ae5e-4df1-903f-086366664de6
Masoudi, Ehsan
6eab85f5-60f2-4111-9fa0-b81b6c440ca8
Bohning, Dankmar
1df635d4-e3dc-44d0-b61d-5fd11f6434e1
Sangnawakij, Patarawan
3baba4ef-a7c4-42d4-b9c2-a363ad9981a1

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).

Record type: Article

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.

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Mea_Strength_Sim_R2 - Accepted Manuscript
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More information

Accepted/In Press date: 10 June 2018
e-pub ahead of print date: 24 January 2019

Identifiers

Local EPrints ID: 421517
URI: https://eprints.soton.ac.uk/id/eprint/421517
ISSN: 0361-0918
PURE UUID: f8b221c8-0276-4c76-aafd-57e39954b413
ORCID for Dankmar Bohning: ORCID iD orcid.org/0000-0003-0638-7106

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Date deposited: 14 Jun 2018 16:30
Last modified: 20 Jul 2019 04:14

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