Robust group testing for multiple traits with misclassification

Abstract

Determining group size is a crucial stage before conducting experiments using group testing methods. Considering misclassification, we propose D-criterion and A-criterion to determine a robust group size for screening multiple infections simultaneously. Extensive simulation shows the advantage of the proposed method when the goal is estimation.

Keywords:

• group testing
• multiple traits
• measurement error
• group size
• misclassification

Acknowledgements

Authors thank the editor and anonymous referees for their constructive comments, which led to substantial improvements of the earlier version of this paper.

Disclosure statement

No potential conflict of interest was reported by the authors.

Funding

This work is supported by National Natural Science of China [nos. 11261009, 11371353], the Guangxi Science Foundation [2012GXNSFAA053004] and the key project of Guangxi Normal University [2014ZD002].