Specificity and sensitivity

Question 1

What is sensitivity?

Answer 1

• measures the proportion of individuals who truly have a disease or condition (TRUE POSITIVE)
• Sensitivity = TP / tp + false negative

Question 2

What is true positive?

Answer 2

• Individuals who have the disease or condition and the test correctly identifies them as positive

Question 3

What is false negatives?

Answer 3

• Individuals who have the disease or condition but the test incorrectly classifies them as negative

Question 4

Explain high sensitivity/ low specificity?

Answer 4

• To increase sensitivity, shift curve to left
• Shift to the left= increases proportion of false positive , which means reduced specificity

Question 4

What is specificity?

Answer 4

• measures the proportion of individuals who truly do not have the disease or condition
• TN / TN + FP

Question 5

What are True Negatives?

Answer 5

-There are individuals who do not have the disease or condition and the test correctly identifies them as negative

Question 6

What are false positives?

Answer 6

• There are individuals who do not have the disease or condition, but the test incorrectly classifies them as positive
• These are cases that the test mistakenly identifies as having the disease