Diagnostic Tests

Question 1

Bayes’ Theorem

Answer 1

describes the probability of an event, based on prior knowledge of conditions that might be related to the event.

Question 2

What is a diagnostic test?

Answer 2

designing a test to diagnose a specific medical condition.

Question 3

What is a gold standard procedure?

Answer 3

It is a procedure with high speciicity and sensitivity, which mean that they are cclose to 100% (1) speciicity and sensitivity

Question 4

How does one evaluate how good a diagnostic test is?

Answer 4

Using the FDA standars

Question 5

How is sensitivity equated?

Answer 5

P(test +|subject positive)=(p(test+ ∩subject positive))/p(subject positive)

Question 6

what is sensitivity?

Answer 6

The conditional probability that the test is out a true positive

Question 7

How is specificity equated?

Answer 7

P(test -|patience negative)=(p(test- ∩patience negative))/p(patience negative)

Question 8

what is a false negative and a false positive?

Answer 8

False negative: Mammogram is negative when the patient actually has breast cancer.
False positive: Mammogram is positive when the woman is free of breast cancer.

Question 9

How is Positive and Negative Predictive Values equated?

Answer 9

look at the formulas

Question 10

what is prevalence?

Answer 10

the proportion of subject in the total population with the condition, diseas, treatment.