False positive paradox in survey research: examples from gun studies

Area of Science:

• Epidemiology
• Public Health
• Survey Methodology

Background:

• The false positive paradox is a key epidemiological concept.
• It explains how low disease prevalence can skew test results, yielding more false than true positives.
• This paradox has broad implications across public health and injury prevention.

Purpose of the Study:

• To illustrate the impact of the false positive paradox on survey-based estimates.
• To apply this concept to specific areas within gun research.
• To enhance the interpretation of data related to gun violence and ownership.

Main Methods:

• Conceptual analysis of the false positive paradox.
• Application of epidemiological principles to survey data interpretation.
• Case studies from gun research, including defensive gun use, mass shootings, and stolen guns.

Main Results:

• Survey estimates, particularly in low-prevalence scenarios, can be significantly inflated by false positives.
• Interpreting data on defensive gun uses requires careful consideration of the paradox.
• Estimates for mass shooting impacts and stolen guns may also be affected.

Conclusions:

• The false positive paradox is crucial for accurately interpreting public health and gun research data.
• Awareness of this paradox improves the validity of survey-based estimates in low-incidence contexts.
• Applying this concept enhances understanding of gun violence epidemiology.