Translations:Advanced Field Epi:Manual 2 - Diagnostic Tests/72/en: Perbedaan revisi

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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 – Se<sub>1</sub>)  (1 – Se<sub>2</sub>). Therefore the probability of an overall positive result for parallel interpretation is Se<sub>parallel</sub> = 1 – (1 – Se<sub>1</sub>)  (1 – Se<sub>2</sub>) = 0.8 (80%) for this example.
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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 - Se<sub>1</sub>) ï‚´ (1 - Se<sub>2</sub>). Therefore the probability of an overall positive result for parallel interpretation is Se<sub>parallel</sub> = 1 - (1 - Se<sub>1</sub>) ï‚´ (1 - Se<sub>2</sub>) = 0.8 (80%) for this example.

Revisi terkini pada 10 Mei 2015 14.42

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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 - Se<sub>1</sub>) ï‚´ (1 - Se<sub>2</sub>). Therefore the probability of an overall positive result for parallel interpretation is Se<sub>parallel</sub> = 1 - (1 - Se<sub>1</sub>) ï‚´ (1 - Se<sub>2</sub>) = 0.8 (80%) for this example.
TerjemahanFor 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 - Se<sub>1</sub>) ï‚´ (1 - Se<sub>2</sub>). Therefore the probability of an overall positive result for parallel interpretation is Se<sub>parallel</sub> = 1 - (1 - Se<sub>1</sub>) ï‚´ (1 - Se<sub>2</sub>) = 0.8 (80%) for this example.

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 Separallel = 1 - (1 - Se1) ï‚´ (1 - Se2) = 0.8 (80%) for this example.

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