The false-positive to false-negative ratio in epidemiologic studies

Area of Science:

• Epidemiology
• Genetic Epidemiology
• Biostatistics

Background:

• The ratio of false-positive to false-negative findings (FP:FN) is a critical metric in epidemiological research.
• This ratio exhibits significant variability across different fields of epidemiology.
• Traditional epidemiological methods often resemble older candidate-gene study practices, leading to high FP:FN ratios.

Purpose of the Study:

• To evaluate the significance of the FP:FN ratio in epidemiological research.
• To analyze the factors influencing FP:FN ratios in various epidemiological contexts.
• To discuss the implications of FP:FN ratios for the interpretation and presentation of study results.

Main Methods:

• Comparative analysis of FP:FN ratios across different epidemiological study designs.
• Review of inferential criteria and reporting practices in genetic epidemiology.
• Assessment of the impact of study methodologies on FP:FN ratios.

Main Results:

• FP:FN ratios range dramatically, from over 100:1 in candidate-gene studies to 1:100 or lower in genome-wide significant associations.
• Human genome epidemiology has seen a substantial decrease in FP:FN ratios due to stringent criteria and comprehensive reporting.
• Traditional epidemiology fields often maintain high FP:FN ratios.

Conclusions:

• The FP:FN ratio is a key indicator of research rigor and requires careful consideration.
• Adoption of stringent inferential criteria and transparent reporting practices can significantly reduce FP:FN ratios.
• The varying consequences of false positives and false negatives necessitate context-specific interpretation of epidemiological findings.