Which is the Preferred Measure of Heterogeneity in Meta-Analysis and Why? A Revisit

Mona Pathak, Sada Nand Dwivedi, Deo Svs, V Sreenivas and Bhaskar Thakur
Additional contact information
Mona Pathak: Department of Biostatistics, All India Institute of Medical Sciences, India
Sada Nand Dwivedi: Department of Biostatistics, All India Institute of Medical Sciences, India
Deo Svs: Department of Surgical Oncology, IRCH, All India Institute of Medical Sciences, India
V Sreenivas: Department of Biostatistics, All India Institute of Medical Sciences, India
Bhaskar Thakur: Department of Biostatistics, All India Institute of Medical Sciences, India

Biostatistics and Biometrics Open Access Journal, 2017, vol. 1, issue 1, 14-20

Abstract: Heterogeneity assessment is unavoidable under meta-analysis as it guides the path to choose appropriate synthesizing method. Its consideration further strengthens the drawn inferences. In the literature, there are various measures of heterogeneity, such as, Q statistic, H2 statistic, HM2 statistic, R2 statistic and I2 statistic. The present work mainly aimed to appraise all existing methods and find the preferred measure of heterogeneity in meta-analysis. Various heterogeneity measures were compared on the basis of theoretical criteria as well as their analytical results on the observed data from a systematic review of randomized controlled trials comparing neoadjuvant chemotherapy with adjuvant chemotherapy in the treatment of breast cancer patients.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://juniperpublishers.com/bboaj/pdf/BBOAJ.MS.ID.555555.pdf (application/pdf)
https://juniperpublishers.com/bboaj/BBOAJ.MS.ID.555555.php (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:1:y:2017:i:1:p:14-20

DOI: 10.19080/BBOAJ.2017.01.555555

Access Statistics for this article

Biostatistics and Biometrics Open Access Journal is currently edited by Sophia Mathis

More articles in Biostatistics and Biometrics Open Access Journal from Juniper Publishers Inc.
Bibliographic data for series maintained by Robert Thomas ().