There is an exercise that I am not able to solve: Diagnostic tests A1 and A2 are used to detect the presence or absence of a disease. The results of A1 and A2 are a priori independent of the presence or absence of the disease. A1 and A2 have sensitivity Sen1 and Sen2, respectively. A new diagnostic test T is introduced. T is positive when A1 and A2 are both positive. Determine the sensitivity of T.
Initially, I thought I would use Bayes theorem, as it contains sensitivity and re-arranging the equation I would get the sensitvity of T: P(Test+│D)=P(D│Test+)*(P(test+│D)*P(D)+P(test+│notD)*P(notD))/P(D)
But since there are no numbers behind, I don´t know how to solve this problem..
any help is highly appreciated!
Initially, I thought I would use Bayes theorem, as it contains sensitivity and re-arranging the equation I would get the sensitvity of T: P(Test+│D)=P(D│Test+)*(P(test+│D)*P(D)+P(test+│notD)*P(notD))/P(D)
But since there are no numbers behind, I don´t know how to solve this problem..
any help is highly appreciated!