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HERO ID
5029248
Reference Type
Book/Book Chapter
Title
Chapter 16: Statistical models for the meta-analysis of nonindependent data
Author(s)
Jennions, MD; Jennions, MD; Schmid, CH
Year
2013
Publisher
Princeton University Press
Location
Princeton, NJ
Book Title
Handbook of Meta-analysis in Ecology and Evolution
Language
English
DOI
10.23943/princeton/9780691137285.003.0016
Relationship(s)
is part of a larger document
5029185
Handbook of Meta-analysis in Ecology and Evolution
Abstract
In many meta-analyses, independence is questionable because there are several effect estimates per study and/or some of the individual studies included in the meta-analysis might not provide independent estimates of the effect. Within-study nonindependence can arise due to multiple measures of the same effect on the same experimental units being made over time, multiple treatments being compared to the same set of control individuals, or different measures being taken (e.g., plant height, dry weight, and photosynthesis rate) from the same experimental units to generate several different effect size estimates. This chapter discusses nonindependence among effect sizes both within and among studies. It focuses on four commonplace situations where nonindependence can occur in ecology and evolution meta-analyses. Each of these four situations is illustrated with a single case study.
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