BinGroup

A package for group testing

verfasst von

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.

Organisationseinheit(en)

Abteilung Biostatistik

Externe Organisation(en)

University of Nebraska
University of South Carolina

Typ

Artikel

Journal

R Journal

Band

2

Seiten

56-60

Anzahl der Seiten

5

ISSN

2073-4859

Publikationsdatum

2010

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Statistik und Wahrscheinlichkeit, Numerische Mathematik, Statistik, Wahrscheinlichkeit und Ungewissheit

Ziele für nachhaltige Entwicklung

SDG 3 – Gute Gesundheit und Wohlergehen

Elektronische Version(en)

https://doi.org/10.32614/rj-2010-016 (Zugang: Offen)