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Nested Group Testing Procedure.
Xiong, Wenjun; Ding, Juan; Zhang, Wei; Liu, Aiyi; Li, Qizhai.
Afiliação
  • Xiong W; School of Mathematics and Statistics, Guangxi Normal University, Guilin, 541004 People's Republic of China.
  • Ding J; Department of Information and Computing Science, College of Sciences, Hohai University, Nanjing, 210098 People's Republic of China.
  • Zhang W; LSC, NCMIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190 People's Republic of China.
  • Liu A; Biostatisics and Bioinformatics Branch, Eunice Kennedy Shriver National Institute of Child Health, Bethesda, 20817 USA.
  • Li Q; LSC, NCMIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190 People's Republic of China.
Commun Math Stat ; : 1-31, 2022 Oct 01.
Article em En | MEDLINE | ID: mdl-36213843
ABSTRACT
We investigated the false-negative, true-negative, false-positive, and true-positive predictive values from a general group testing procedure for a heterogeneous population. We show that its false (true)-negative predictive value of a specimen is larger (smaller), and the false (true)-positive predictive value is smaller (larger) than that from individual testing procedure, where the former is in aversion. Then we propose a nested group testing procedure, and show that it can keep the sterling characteristics and also improve the false-negative predictive values for a specimen, not larger than that from individual testing. These characteristics are studied from both theoretical and numerical points of view. The nested group testing procedure is better than individual testing on both false-positive and false-negative predictive values, while retains the efficiency as a basic characteristic of a group testing procedure. Applications to Dorfman's, Halving and Sterrett procedures are discussed. Results from extensive simulation studies and an application to malaria infection in microscopy-negative Malawian women exemplify the findings.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Commun Math Stat Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Commun Math Stat Ano de publicação: 2022 Tipo de documento: Article