Medical Statistics Flashcards
1
Q
What is a Type I error?
A
Rejecting the nill hypothesis when it is true.
2
Q
What is a Type II error?
A
Not rejecting the null hypothesis when it is false.
3
Q
What does a ROC curve demonstrate?
A
Trade off between sensitivity and specificity.
Closer to the left-hand and top border, the more accurate.
Closer to the 45-degree diagonal, the less accurate.
Area under the curve is a scalar measurement of performance.
