2024-09-22 21:47:21
The study referenced is from 1978, a time when few MDs were trained in Bayesian reasoning. [Link] NEEDS_MORE_RATINGS(28-4-13) Author
2024-09-23 12:43:28
The question as posed cannot be answered, since it does not state the false negative rate of the test. [Link] NEEDS_MORE_RATINGS(2-0-6) Author
2024-09-23 15:20:00
False positive rates measure the proportion of positive cases that were incorrectly identified or classified as positive in a test. They do not mean that 5% of the population tested will be falsely identified as positive. [Link][Link] NEEDS_MORE_RATINGS(0-0-6) Author
2024-09-24 06:10:12
NNN. A false negative rate would actually reduce the likelihood of someone having the disease given a positive result. In other words the result would be <2%, which is different from 95%, as the respondents answered. NEEDS_MORE_RATINGS(0-0-0) Author