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Understanding Research Synthesis (Meta-Analysis)

Understanding Research Synthesis (Meta-Analysis) Synthesis of research findings has long been a part of reviewing and summarizing a field of study. Public health decisions are made on the available evidence. We summarize the approaches to research synthesis that draw on the best available evidence and the use of quantitative summaries through meta-analysis. We focus on observational studies. Heterogeneity offers the potential to observe a relation across study populations and circumstances. We emphasize the benefits of heterogeneity in overviews and the need to explore and describe the sources of heterogeneity. Random effects approaches to combining data are recommended, and the use of regression approaches is emphasized. Excluding studies with extreme results may bias a research synthesis and underestimate the true variance of the results, thus contributing to misleading inference. Thorough searching is the best guard against publication bias. We conclude with guidelines for combining epidemiological studies. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annual Review of Public Health Annual Reviews

Understanding Research Synthesis (Meta-Analysis)

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Publisher
Annual Reviews
Copyright
Copyright 1996 Annual Reviews. All rights reserved
Subject
Review Articles
ISSN
0163-7525
eISSN
1545-2093
DOI
10.1146/annurev.pu.17.050196.000245
pmid
8724213
Publisher site
See Article on Publisher Site

Abstract

Synthesis of research findings has long been a part of reviewing and summarizing a field of study. Public health decisions are made on the available evidence. We summarize the approaches to research synthesis that draw on the best available evidence and the use of quantitative summaries through meta-analysis. We focus on observational studies. Heterogeneity offers the potential to observe a relation across study populations and circumstances. We emphasize the benefits of heterogeneity in overviews and the need to explore and describe the sources of heterogeneity. Random effects approaches to combining data are recommended, and the use of regression approaches is emphasized. Excluding studies with extreme results may bias a research synthesis and underestimate the true variance of the results, thus contributing to misleading inference. Thorough searching is the best guard against publication bias. We conclude with guidelines for combining epidemiological studies.

Journal

Annual Review of Public HealthAnnual Reviews

Published: May 1, 1996

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