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If anyone could help me out with this one, i'd really appreciate it. Thanks!
Suppose that certain patients with breast cancer are found to have high serum concentrations of a particular compound that is at very low levels in normal individuals. A new blood test is developed for breast cancer screening based on this finding, and a study is performed to determine the correct upper limit of normal for the compound, with a test sensitivity of 80% (the test compared with mammography).
What can be done to reduce the probability of making a type II error in a similar study?
Why isn't the answer D?....
Answer explanation: Type II error (B) is when no effect or difference is found when one exists. Increasing sample size, sensitivity, or P value threshold decreases B.
Can someone please explain how sensitivty, specificity, & p value relate to B.....
Suppose that certain patients with breast cancer are found to have high serum concentrations of a particular compound that is at very low levels in normal individuals. A new blood test is developed for breast cancer screening based on this finding, and a study is performed to determine the correct upper limit of normal for the compound, with a test sensitivity of 80% (the test compared with mammography).
What can be done to reduce the probability of making a type II error in a similar study?
- A.
Decrease the disease prevalence in the population studied
- B.
Decrease the sensitivity of the test
- C.
Increase the size of the population studied
- D.
Increase the specificity of the test
- E.
Increase the upper limit of the normal concentration range
Why isn't the answer D?....
Answer explanation: Type II error (B) is when no effect or difference is found when one exists. Increasing sample size, sensitivity, or P value threshold decreases B.
Can someone please explain how sensitivty, specificity, & p value relate to B.....
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