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The False-positive to False-negative Ratio in Epidemiologic Studies

2011/04/14 by John P. A. Ioannidis, Robert E. Tarone, Joseph K. McLaughlin · 1 citation
Biochemistry, Genetics and Molecular Biology · Environmental Science · Mathematics · Medicine · #Biology #Epidemiology #Folate and B Vitamins Research #Gene #Genetic Associations and Epidemiology #Genetics #Genome-wide association study #Genotype #Health, Environment, Cognitive Aging #Mathematics #Medicine #Metric (unit) #Multiple comparisons problem #Pathology #Statistics

paper · doi:10.1097/ede.0b013e31821b506e

openalex publication_date 2011/04/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

Abstract

The ratio of false-positive to false-negative findings (FP:FN ratio) is an informative metric that warrants further evaluation. The FP:FN ratio varies greatly across different epidemiologic areas. In genetic epidemiology, it has varied from very high values (possibly even >100:1) for associations reported in candidate-gene studies to very low values (1:100 or lower) for associations with genome-wide significance. The substantial reduction over time in the FP:FN ratio in human genome epidemiology has corresponded to the routine adoption of stringent inferential criteria and comprehensive, agnostic reporting of all analyses. Most traditional fields of epidemiologic research more closely follow the practices of past candidate gene epidemiology, and thus have high FP:FN ratios. Further, FP and FN results do not necessarily entail the same consequences, and their relative importance may vary in different settings. This ultimately has implications for what is the acceptable FP:FN ratio and for how the results of published epidemiologic studies should be presented and interpreted.

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