Question

In: Statistics and Probability

Suppose a test for a disease has a sensitivity of 80% and a specificity of 95%....

Suppose a test for a disease has a sensitivity of 80% and a specificity of 95%. Further suppose that in a certain country with a population of 1,000,000, 21% of the population has the disease. Fill in the accompanying table.

-------------------Has disease |Does not have disease| Totals

Test positive

Test negative

Totals

Solutions

Expert Solution

Has Disease Does not have Disease Totals
Test positive A B C
Test negative D E F
Totals G H 1,000,000

A is the sensitivity % of disease total and E is the specificity % of Does not have disease total

21% of population has the disease

this means, G = 21% of grand total = (21/100)*1,000,000 = 210,000

And A is 80% of G = (80/100)*(G value) = 0.80*210,000 = 168,000

Therefore, D = G-A = 210,000 -168,000 = 42,000

Again

H = Grand total - G

= 1,000,000- (number of people who has disease

= 1,000,000 - 210,000

= 790,000

E is the specificity % of Does not have disease total

this implies, E = 95% of H = (95/100)*790,000 = 750,500

And B = H - E = 790,000 - 750,500 = 39,500

Last column calculation

C = A+B = 168,000 + 39,500 = 207,500

F = D +E = 42,000 + 750,500 = 792,500

So, we get the following table

Has Disease Does not have Disease Totals
Test positive 168,000 39,500 207,500
Test negative 42,000 750,500 792,500
Totals 210,000 790,000 1,000,000

Related Solutions

Suppose that a medical test for a certain disease has a sensitivity and specificity of 93%....
Suppose that a medical test for a certain disease has a sensitivity and specificity of 93%. The test is applied to a population of which 11% are actually infected by the disease. 1. Calculate the NPV and the PPV. 2. What percent of the total population will test positive who are disease-free? 3. What percent of the total population will test negative who have the disease?
Suppose that a test for a certain disease has a specificity of 95%. If 2,000 people...
Suppose that a test for a certain disease has a specificity of 95%. If 2,000 people without the disease take the test, how many should you expect to test negative? 100 1,000 1,500 1,900
How to calculate 95% CI with sensitivity and specificity That is sensitivity, specificity, prevalence has been...
How to calculate 95% CI with sensitivity and specificity That is sensitivity, specificity, prevalence has been given and 95%CI needs to be calculated, but how???
A newly developed test for coronavirus has sensitivity 0.90 and specificity 0.85. Sensitivity is the probability...
A newly developed test for coronavirus has sensitivity 0.90 and specificity 0.85. Sensitivity is the probability of a positive result given that a person has the virus, and specificity is the probability of a negative result given that a person has no virus. Suppose that 12% of the population has the coronavirus. If the test gives you a positive result, what is the probability that you actually have the virus? Show your work.
The most commonly used test for HIV has a sensitivity of 0.997 and a specificity of...
The most commonly used test for HIV has a sensitivity of 0.997 and a specificity of 0.985. In other words, a person infected with HIV will test positive for the virus 99.7% of the time while a person NOT infected with HIV will test NEGATIVE for the virus 98.5% of the time. Research current rates of infection for the indicated population in order to answer the following questions. If a US randomly selected US resident is tested for HIV and...
An ELISA (Enzyme-Linked Immunosorbent Assay) for Hepatitis C has 95 percent sensitivity and 90 percent specificity....
An ELISA (Enzyme-Linked Immunosorbent Assay) for Hepatitis C has 95 percent sensitivity and 90 percent specificity. What is an ELISA? Write a statement and use numbers to say what the stated sensitivity and specificity numbers mean in terms of the assay’s detection of true positive samples and what the false-positive results will likely be.
Sensitivity is the probability that a test will identify a person who has the disease you...
Sensitivity is the probability that a test will identify a person who has the disease you are testing for. Question 9 options: True False Which of the following statements is NOT true when describing Specificity? Question 10 options: A) It measures the effectiveness of a test in returning a negative test result to people who do not have the disease. B) It is the ability of a test to correctly identify people who have the disease you are testing for....
In the following scenarios identify the Reality, the test, Sensitivity, Specificity, False Negative, and False Positive....
In the following scenarios identify the Reality, the test, Sensitivity, Specificity, False Negative, and False Positive. Then explain which is worse (if either) a False Negative or a False Positive. 1. A Drug Test: a. Reality: b. Test: c. Sensitivity: d. Specificity: e. False Negative: f. False Positive: g. Which is worse:
Obtain at least three test methods for Covid-19 and obtain their sensitivity or specificity. You will...
Obtain at least three test methods for Covid-19 and obtain their sensitivity or specificity. You will need to research different sources from testing companies or independent tests. Which one would you recommend for your community?
A test for a certain disease is found to be 95% accurate, meaning that it will...
A test for a certain disease is found to be 95% accurate, meaning that it will correctly diagnose the disease in 95 out of 100 people who have the ailment. The test is also 95% accurate for a negative result, meaning that it will correctly exclude the disease in 95 out of 100 people who do not have the ailment. For a certain segment of the population, the incidence of the disease is 4%. (1) If a person tests positive,...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT