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Updated: May 21, 2026

High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents (HPHC)
Published on: May 10, 2016
From testing to estimation: the problem of false positives in the context of carcinogen evaluation in the IARC
Christiana A Demetriou1, Kurt Straif, Paolo Vineis
1Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom.
Background:
Cancer epidemiology has been criticized for producing false-positive associations. The present analysis investigates the frequency of and factors contributing to false-positive findings in cancer epidemiology.
Methods:
The International Agency for Research on Cancer (IARC) Monographs Group 3 agents were examined to identify potential false-positive findings. Frequency estimates for their occurrence were calculated. Comments of the Working Groups on study quality were recorded for studies with potential false-positives. These were used to determine how many of such studies were criticized for each of the study quality factors that are suspected to contribute to false-positive results.
Results:
Of 509 agents in group 3, 37 agents were found to have potential false-positive associations in the studies reviewed in their respective IARC monograph(s). The overall frequency of potential false-positives among these agents was between 0.03 and 0.10. The individual frequencies ranged from 0.01 to 0.40. The potential false-positive findings were produced by 162 studies. The most common factors contributing to potential false-positive findings were confounding and exposure misclassification.
Conclusions:
The frequency estimates we have obtained do not suggest that epidemiology is grossly flooded by false-positive findings. The factors for which studies with potential false-positives were most often criticized were factors that are sometimes difficult to address in cancer epidemiologic research and can bias an effect estimate toward or away from the null.
Impact:
The low frequency of false-positives in cancer epidemiology restores faith in epidemiologic procedures, making epidemiologic findings a useful guide for public health care measures.
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