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Potential for misleading associations between exposure and disease when reviewing multiple epidemiologic studies
J J Korelitz1, G H Spivey, R T Schmidt
1Unocal Corporation, Los Angeles, CA 90051.
Summary
Reviewing multiple epidemiologic studies can create a statistical artifact suggesting a link between exposure and disease, even without a true cause-effect relationship. This occurs due to the number of studies, not the study size, potentially misleading reviewers.
Area of Science:
- Epidemiology
- Biostatistics
- Occupational Health
Background:
- Meta-analysis and systematic reviews synthesize evidence from multiple studies.
- Statistical artifacts can arise when combining results from independent research.
- Misinterpretation of aggregated study data can lead to erroneous conclusions.
Purpose of the Study:
- To investigate a statistical artifact in epidemiologic reviews.
- To demonstrate how combining independent study results can suggest a false relationship.
- To highlight the impact of study quantity on perceived associations.
Main Methods:
- Applied fundamental probability principles to hypothetical study scenarios.
- Simulated the combination of results from independent epidemiologic studies.
- Analyzed the influence of the number of studies and study size on observed associations.
Main Results:
- Hypothetical data showed apparent confirmation of a cause-effect relationship, despite its absence.
- The primary driver of this artifact was the total number of independent studies reviewed.
- Study size had a lesser, but still notable, influence on the artifact.
Conclusions:
- A statistical artifact can create a false impression of an exposure-disease relationship in meta-analyses.
- Reviewers may be misled if they do not consider the total number of studies, including those with null findings.
- This phenomenon is illustrated using an example from rubber worker occupational health studies.