How can we differentiate between Type I and Type II errors, and which degree of error is more acceptable in medical testing outcomes for rare diseases?
Answer 1
Mary Collins
Type I error, or false positive, occurs when a test incorrectly indicates the presence of a condition. Type II error, or false negative, occurs when a test fails to detect a condition. In medical testing for rare diseases, minimizing Type II errors is generally more acceptable, as missing a diagnosis can have more severe consequences than a false positive.
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