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2,620 men were enrolled in the study of prostate cancer and 930 of those had confirmed by biopsy prostate cancer. The sensitivity of the Prostate-Specific Antigen (PSA) test was 86% and the specificity was 33%. Calculate positive predictive value (PPV) and negative predictive value (NPV) of the PSA test given this information and interpret (explain) the results. (Show your calculations to get credit)

User AJ Gregory
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Answer:

81%

Step-by-step explanation:

0.86 · 930 = 799.8 ⇒ 800 men

Other 130 men have negative PSA test

2620 - 930 = 1690 ⇒ 1690 without cancer

0.33 · 1690 = 557.8 ⇒ 558 men no cancer + negetive PSA tests

1690 - 558 = 1132

*view attachment below*

Positive perdictive value = 800/1932 = 0.42 = 42%

Negative predictive value = 558/688 = 0.81 = 81%.

The probability of not having prostate cancer among men with a negative PSA test is 81%

Sorry if it's very unclear, Good luck <3

2,620 men were enrolled in the study of prostate cancer and 930 of those had confirmed-example-1
User Jon Davis
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