Works (1)
Updated: July 5th, 2023 16:02
2000 journal article
Use of binomial group testing in tests of hypotheses for classification or quantitative covariables
BIOMETRICS, 56(1), 204–212.
author keywords: asymptotic relative efficiency; binary data; HIV-1; hypothesis testing
MeSH headings : Adolescent; Adult; Biometry / methods; Classification; Female; HIV Infections / complications; HIV Infections / epidemiology; HIV Seroprevalence; HIV-1; Humans; Models, Statistical; New York City / epidemiology; Pregnancy; Pregnancy Complications, Infectious / epidemiology
TL;DR:
The potential applications of group testing to hypothesis-testing problems wherein one wants to test for a relationship between p and a classification or quantitative covariable are extended and asymptotic relative efficiencies of tests based on group testing versus the usual individual testing are obtained.
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(Web of Science; OpenAlex)
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Added: August 6, 2018
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