Meta-analysis of prevalence

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

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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.

Impact and interest:

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98 citations in Web of Science®

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ID Code: 79814
Item Type: Journal Article
Refereed: Yes
Keywords: disease incidence, disease prevalence, estimation method, meta-analysis, methodology, software, article, binomial distribution, computer simulation, human, meta analysis, meta analysis (topic), multiple sclerosis, prevalence, severity of illness index, statistical model, statistics, Humans, Logistic Models, Meta-Analysis as Topic, Models, Statistical
DOI: 10.1136/jech-2013-203104
ISSN: 0143-005X
Subjects: Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000)
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > PUBLIC HEALTH AND HEALTH SERVICES (111700)
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > PUBLIC HEALTH AND HEALTH SERVICES (111700) > Epidemiology (111706)
Australian and New Zealand Standard Research Classification
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Public Health & Social Work
Copyright Owner: Copyright 2013 The Authors license to BMJ Publishing Group
Deposited On: 20 Jan 2015 04:47
Last Modified: 21 Jan 2015 03:22

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