9) A study to determine the sensitivity and specificity of a new test for diabet

Question

9) A study to determine the sensitivity and specificity of a new test for diabetes is conducted on 576 people. The national prevalence of diabetes in adults is 9.7%. Your sample has the same prevalence of diabetes. You find that 51 people with diabetes tested positive with the new test. You also have a total of 83 positive test results in your study. CALCULATE THE POSITIVE PREDICTIVE VALUE of this test under these circumstances.

Question 9 options:

A) 61.45%

B) 98.99%

C) 91.07%

D) 93.85%

E) 67.47%

Question 10) A study to determine the sensitivity and specificity of a new test for macular degeneration is conducted on 2430 people. Macular degeneration occurs at a rate of 16.72%. Your sample has the same prevalence of macular degeneration. You find that 377 people with macular degeneration tested positive with the new test. You also have a total of 561 positive test results in your study. CALCULATE THE NEGATIVE PREDICTIVE VALUE of this test under these circumstances.

Question 10 options:

A) 83.29%

B) 67.20%

C) 92.86%

D) 98.45%

E) 75.72%

Question 11) A study to determine the sensitivity and specificity of a new test for celiac disease is conducted on 7642 people. Studies have shown that celiac disease occurs at a rate of 1.32%. Your sample has the same prevalence of celiac disease. You find that 99 people with celiac disease tested positive with the new test. You also have a total of 7495 negative test results in your study. CALCULATE THE NEGATIVE PREDICTIVE VALUE of this test under these circumstances.

Question 11 options:

A) 99.36%

B) 98.02%

C) 99.39%

D) 99.97%

E) 67.35%

Question 12) A study to determine the sensitivity and specificity of a new test for diabetes is conducted on 576 people. The national prevalence of diabetes in adults is 9.7%. Your sample has the same prevalence of diabetes. You find that 51 people with diabetes tested positive with the new test. You also have a total of 83 positive test results in your study. CALCULATE THE NEGATIVE PREDICTIVE VALUE of this test under these circumstances.

Question 12 options:

A) 91.07%

B) 93.85%

C) 98.99%

D) 61.45%

E) 94.81%

Explanation / Answer

9)

POSITIVE PREDICTIVE VALUE=true positive/total posiitive=51/83=61.45%

10)

NEGATIVE PREDICTIVE VALUE =true negative/total negative result

=(2430*(1-0.1672)-(561-377))/(2430*(1-0.1672))=98.45%

11)

NEGATIVE PREDICTIVE VALUE =(7495-(7642*1.32%-99))/7495=99.97%

12)

NEGATIVE PREDICTIVE VALUE=98.99%

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