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:stions 5 and L'- we will use a test cutpoint of 20 ppm. The data for this cut-point nted in the following table. The positive

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:stions 5 and L'- we will use a test cutpoint of 20 ppm. The data for this cut-point nted in the following table. The positive and negative predictive values will vary.r .ng on the prevalence of smoking in the population to which the test is applied. For t two questions we will assume that the prevalence of smoking is IU'E'E. Total 5 III o k er Yes 5621 No 32H Total 5333 350'? 3395 ssuming a population smoking prevalence of 10%, what is the positive predictive alue? asuming a population smoking prevalence of 10%, what is the negative predictive alue? final problem we will consider consider the prostate specific antigen [PEA] screening prostate cancer . Assume that a PEA. score of at least 4 is a positive test . Suppose prevalence of prostate cancer in our population of interest is I115 1 and that the PSA a sensitivity of 0.84 and a specicity of H.410 . True Prostate Cancer Status Present Absent Total Test Result PEA -:: 4 PSA 3 4 Total l,Dlll} mm the information provided1 fill out the table above with the number of people we ould expect for each cell. 'hat is the positive predictive value? 'hat is the negative predictive value

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