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For parallel interpretation, the result is considered positive if either of the individual test results is positive. Alternatively, for a result to be considered negative both test results must be negative. Again this can be determined from the scenario tree, where the limb on the right represents both tests having a negative result and the probability of both negative results is P(–/–) = (1 – Se₁) ï‚´ (1 – Se₂). Therefore the probability of an overall positive result for parallel interpretation is Se_parallel = 1 – (1 – Se₁) ï‚´ (1 – Se₂) = 0.8 (80%) for this example.