Several factors can influence the false positive rate:
Test Sensitivity - While sensitivity measures the ability to correctly identify those with the disease, highly sensitive tests might have lower specificity, thereby increasing the FPR. Prevalence of the Disease - In low-prevalence settings, even tests with high specificity can yield a relatively high number of false positives. Cut-off Values - The threshold set for a test can impact FPR. Lower thresholds may increase the number of false positives.
