In: Biology
Which of the following statements is true when describing Positive Predictive Value?
Question 7 options:
A) It tells you the probability that a test reflects a person who has the disease.
B) It is a constant measurement of a test, regardless of the population it is used on.
C) It is the ability of a test to correctly identify people who have the disease you are testing for.
D) It increases when prevalence of the disease within your population.decreases.
Negative Predictive Value is the probability that a test reflects a person who does not have the disease you are testing for.
Question 8 options:
True | |||||
False Sensitivity is the probability that a test will identify a person who has the disease you are testing for. Question 9 options:
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Question 7 Which of the following are true?
Question 7 options:
A) It tells you the probability that a test reflects a person who has the disease. TRUE
B) It is a constant measurement of a test, regardless of the population it is used on. FALSE
Reason: The positive predictive value depends on the population tested
C) It is the ability of a test to correctly identify people who have the disease you are testing for. FALSE
Reason: The statement in option C defines Sensitivity and not the Positive predictive value
D) It increases when prevalence of the disease within your population decreases. FALSE
Reason: The positive predictive value increases with increase in prevalence. The statement given is true for negative predictive value.
Ques 8 Negative Predictive Value is the probability that a test reflects a person who does not have the disease you are testing for.
Answer to Q8 TRUE
Ques 9 Sensitivity is the probability that a test will identify a person who has the disease you are testing for.
Answer to Q9: TRUE