Estimation Through Array-Based Group Tests

Oliveira Martins, João Paulo; Felgueiras, Miguel; Santos, Rui

http://hdl.handle.net/10400.8/13419

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Authors

Oliveira Martins, João Paulo

Felgueiras, Miguel

Santos, Rui

Abstract(s)

Pooling individual samples for batch testing is a common procedure for reducing costs. The recent use of multidimensional array algorithms, due to the emergence of robotic pooling, is an innovative way of pooling. We show that the two-dimensional array-based group tests can provide accurate estimates for the prevalence rate even for situations in which the traditional estimators, applied to one-dimensional arrays, are not valid. Hence, a computational script was developed to determine which prevalence rate estimate minimizes the sum of the squared deviations between the number of observed and expected rows and columns whose pooled sample had a positive test result. © 2017, National Statistical Institute. All rights reserved.

Description

REVSTAT - Statistical Journal is an open access blind peer-reviewed journal published quarterly, by Statistics Portugal. The aim of REVSTAT - Statistical Journal is to publish articles of high scientific content, developing Statistical Science focused on innovative theory, methods, and applications in different fields of science.

Keywords

Array Estimation Pooled samples Prevalence rate

URI

http://hdl.handle.net/10400.8/13419

Citation

Martins , J. P., Felgueiras , M., & Santos , R. (2017). Estimation Through Array-Based Group Tests. REVSTAT-Statistical Journal, 15(4), 487–500. https://doi.org/10.57805/revstat.v15i4.223