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Speaker:Prof. Shih-Hao Huang (Department of Mathematics, National Central University)

Seminar
Poster:Webmasters事件日期:2019-03-15
 
Topic:Cost considerations for group testing studies with applications to epidemiology

Speaker:Prof. Shih-Hao Huang (Department of Mathematics, National Central University)

Date Time:FRI. Mar 15, 2019, 10:40 AM - 12:00 PM 
 
Place: 4F-427, Assembly Building I

Abstract

A group testing study involves collecting samples from multiple individuals, pooling them, and testing them as a group. A realistic cost model for such a study should consider the costs both for collecting the samples, and for testing the assays. One main goal of group testing is to estimate the prevalence of a disease, which can be biased due to misspecified nominal values of testing accuracies. An efficient design should accommodate such inaccuracies. Motivated by a chlamydia study in the USA, we theoretically characterized locally optimal group testing designs in this setting. Several simulated examples show that the proposed designs have high efficiency, and are not strongly sensitive to the working parameter specification that is used to obtain the locally optimal design. 

Keywords: bias-variance trade-off, budget-constrained design, Ds-optimality, group testing, misclassification
Last modification time:2019-03-15 AM 10:55

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