<Li> True negative: Healthy people correctly identified as healthy </Li> <Li> False negative: Sick people incorrectly identified as healthy </Li> <P> In general, Positive = identified and negative = rejected . Therefore: </P> <Ul> <Li> True positive = correctly identified </Li> <Li> False positive = incorrectly identified </Li> <Li> True negative = correctly rejected </Li> <Li> False negative = incorrectly rejected </Li> </Ul>

Calculating false positive rate from sensitivity and specificity