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  We define D+ as the event a randomly selected person is positive for the disease of interest, and T+ the event the person tests positive. The events D- and T- are the corresponding complementary events of negative for disease and testing negative, respectively.

Suppose that the prevalence is given by

\begin{displaymath}
P(D+) \; = \; .25 .\end{displaymath}

Suppose that the sensitivity of the test is

\begin{displaymath}
P(T+\vert D+) \; = \; .8 ,\end{displaymath}

and the specificity is

\begin{displaymath}
P(T-\vert D-) \; = \; .4 .\end{displaymath}

(a) Compute the positive predictive power P(D+|T+).

(b) Compute the negative predictive power P(D-|T-).



Dennis Cox
3/8/2001