BinGroup

A package for group testing

authored by

Christopher R. Bilder, Boan Zhang, Frank Schaarschmidt, Joshua M. Tebbs

Abstract

When the prevalence of a disease or of some other binary characteristic is small, group testing (also known as pooled testing) is frequently used to estimate the prevalence and/or to identify individuals as positive or negative. We have developed the binGroup package as the first package designed to address the estimation problem in group testing. We present functions to estimate an overall prevalence for a homogeneous population. Also,for this setting, we have functions to aid in the very important choice of the group size. When individuals come from a heterogeneous population, our group testing regression functions can be used to estimate an individual probability of disease positivity by using the group observations only. We illustrate our functions with data from a multiple vector transfer design experiment and a human infectious disease prevalence study.

Organisation(s)

Department of Biostatistics

External Organisation(s)

University of Nebraska
University of South Carolina

Type

Article

Journal

R Journal

Volume

2

Pages

56-60

No. of pages

5

ISSN

2073-4859

Publication date

2010

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Statistics and Probability, Numerical Analysis, Statistics, Probability and Uncertainty

Sustainable Development Goals

SDG 3 - Good Health and Well-being

Electronic version(s)

https://doi.org/10.32614/rj-2010-016 (Access: Open)