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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.

Bohning, Dankmar
1df635d4-e3dc-44d0-b61d-5fd11f6434e1
Holling, Heinz
4f0c7a5e-ae1d-4ecf-b341-250998033221
Masoudi, Ehsan
6eab85f5-60f2-4111-9fa0-b81b6c440ca8
Boehning, Walailuck
c0e89cb8-3d21-433c-8ca1-c1ee7c5bdfa6
Bohning, Dankmar
1df635d4-e3dc-44d0-b61d-5fd11f6434e1
Holling, Heinz
4f0c7a5e-ae1d-4ecf-b341-250998033221
Masoudi, Ehsan
6eab85f5-60f2-4111-9fa0-b81b6c440ca8
Boehning, Walailuck
c0e89cb8-3d21-433c-8ca1-c1ee7c5bdfa6

Bohning, Dankmar, Holling, Heinz, Masoudi, Ehsan and Boehning, Walailuck (2018) Evaluation of a new version of I2 with emphasis on diagnostic problems ,

Record type: Monograph (Discussion Paper)

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_Simu_Work - Accepted Manuscript
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Published date: 5 January 2018

Identifiers

Local EPrints ID: 417689
URI: https://eprints.soton.ac.uk/id/eprint/417689
PURE UUID: 9aa54354-9606-4b51-bc6d-c09fdedab66d

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Date deposited: 12 Feb 2018 17:30
Last modified: 18 Jul 2018 16:31

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