A risk score was developed to evaluate risk of catching a viral disease. This risk score was then applied to a population of interest. In this population, The AUC of the test was 0.83. Using a 10% probability threshold to decide that a person has the disease, the sensitivity of the test was 91%, the specicity of the test was 53%, and the precision of the test was 7.8%. The prevalence of the disease was 2%. Which of the following statements about the test are true given this information? T The researchers evaluated this test in another population where the prevalence of the disease was 50%. We would expect the sensitivity to be higher in this population. To avoid panic, the researchers wanted to avoid false positive results (they were relatively OK with false negatives). Based on the sensitivity and specicity reported, they chose a good threshold to achieve this. The researchers would have fewer false negatives if the threshold was increased to 15% The researchers evaluate this test in another population where the prevalence of the disease was 50%. We would expect the precision to be higher in this population. If we apply this test to a randomly chosen person that does not have the disease, 47% of the time the test will report a positive result at the 10% threshold. There is an 83% chance that a randomly chosen person with the disease will have a higher risk score than a randomly chosen person without the disease in their population