Meta-analysis of prevalence

Barendregt, Jan J., Doi, Suhail A., Lee, Yong Yi, Norman, Rosana E. and Vos, Theo (2013) Meta-analysis of prevalence. Journal of Epidemiology and Community Health, 67 11: 974-978. doi:10.1136/jech-2013-203104

Author Barendregt, Jan J.
Doi, Suhail A.
Lee, Yong Yi
Norman, Rosana E.
Vos, Theo
Title Meta-analysis of prevalence
Journal name Journal of Epidemiology and Community Health   Check publisher's open access policy
ISSN 0143-005X
Publication date 2013-11-01
Year available 2013
Sub-type Article (original research)
DOI 10.1136/jech-2013-203104
Open Access Status DOI
Volume 67
Issue 11
Start page 974
End page 978
Total pages 5
Place of publication London, United Kingdom
Publisher B M J Group
Language eng
Abstract Meta-analysis is a method to obtain a weighted average of results from various studies. In addition to pooling effect sizes, meta-analysis can also be used to estimate disease frequencies, such as incidence and prevalence. In this article we present methods for the meta-analysis of prevalence. We discuss the logit and double arcsine transformations to stabilise the variance. We note the special situation of multiple category prevalence, and propose solutions to the problems that arise. We describe the implementation of these methods in the MetaXL software, and present a simulation study and the example of multiple sclerosis from the Global Burden of Disease 2010 project. We conclude that the double arcsine transformation is preferred over the logit, and that the MetaXL implementation of multiple category prevalence is an improvement in the methodology of the meta-analysis of prevalence.
Keyword Meta Analysis
Quality-Effects Model
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
Queensland Children's Medical Research Institute Publications
School of Public Health Publications
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Citation counts: TR Web of Science Citation Count  Cited 178 times in Thomson Reuters Web of Science Article | Citations
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