Active pooling design in group testing based on Bayesian posterior prediction

27 Jul 2020 Ayaka Sakata

In identifying infected patients in a population, group testing is an effective method to reduce the number of tests and correct the test errors. In the group testing procedure, tests are performed on pools of specimens collected from patients, where the number of pools is lower than that of patients... (read more)

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