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http://dx.doi.org/10.5351/CKSS.2006.13.3.787

Estimation in Group Testing when a Dilution Effect exists  

Kwon, Se-Hyug (Department of Statistics, Hannam University)
Publication Information
Communications for Statistical Applications and Methods / v.13, no.3, 2006 , pp. 787-794 More about this Journal
Abstract
In group testing, the test unit consists of a group of individuals and each group is tested to classify units from a population as infected or non-infected or estimate the infection rate. If the test group is infected, one or more individuals in the group are presumed to be infected. It is assumed in group testing that classification of group as positive or negative is without error. But, the possibility of false negatives as a result of dilution effects happens often in practice, specially in many clinical researches. In this paper, dilution effect models in group testing are discussed and estimation methods of infection rate are proposed when a dilution effect exists.
Keywords
Group testing; dilution effect model; estimation;
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