Literature DB >> 11427952

Regression analysis of group testing samples.

M Xie1.   

Abstract

This paper develops a general regression methodology that relates the group testing responses to individual covariate information. It can be used to study samples from a group testing procedure and to deal with a wide range of regression problems. A detailed illustration of the methodology is provided for a group testing procedure proposed by Gastwirth and Hammick. To demonstrate the utility of the method, simulation studies are performed on an HIV antibody testing data set published by Nusbacher et al. Copyright 2001 John Wiley & Sons, Ltd.

Mesh:

Substances:

Year:  2001        PMID: 11427952     DOI: 10.1002/sim.817

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  27 in total

1.  binGroup: A Package for Group Testing.

Authors:  Christopher R Bilder; Boan Zhang; Frank Schaarschmidt; Joshua M Tebbs
Journal:  R J       Date:  2010-12-01       Impact factor: 3.984

2.  Bayesian regression for group testing data.

Authors:  Christopher S McMahan; Joshua M Tebbs; Timothy E Hanson; Christopher R Bilder
Journal:  Biometrics       Date:  2017-04-12       Impact factor: 2.571

3.  Regression models for group testing data with pool dilution effects.

Authors:  Christopher S McMahan; Joshua M Tebbs; Christopher R Bilder
Journal:  Biostatistics       Date:  2012-11-28       Impact factor: 5.899

4.  Two-stage hierarchical group testing for multiple infections with application to the infertility prevention project.

Authors:  Joshua M Tebbs; Christopher S McMahan; Christopher R Bilder
Journal:  Biometrics       Date:  2013-10-04       Impact factor: 2.571

5.  A general framework for the regression analysis of pooled biomarker assessments.

Authors:  Yan Liu; Christopher McMahan; Colin Gallagher
Journal:  Stat Med       Date:  2017-03-28       Impact factor: 2.373

6.  Regression analysis and variable selection for two-stage multiple-infection group testing data.

Authors:  Juexin Lin; Dewei Wang; Qi Zheng
Journal:  Stat Med       Date:  2019-07-11       Impact factor: 2.373

7.  Misclassified group-tested current status data.

Authors:  L C Petito; N P Jewell
Journal:  Biometrika       Date:  2016-12-08       Impact factor: 2.445

8.  Reduced West Nile Virus Transmission Around Communal Roosts of Great-Tailed Grackle (Quiscalus mexicanus).

Authors:  Nicholas Komar; James M Colborn; Kalanthe Horiuchi; Mark Delorey; Brad Biggerstaff; Dan Damian; Kirk Smith; John Townsend
Journal:  Ecohealth       Date:  2014-12-06       Impact factor: 3.184

9.  Group testing regression models with fixed and random effects.

Authors:  Peng Chen; Joshua M Tebbs; Christopher R Bilder
Journal:  Biometrics       Date:  2009-12       Impact factor: 2.571

10.  Group testing regression models with dilution submodels.

Authors:  Md S Warasi; Christopher S McMahan; Joshua M Tebbs; Christopher R Bilder
Journal:  Stat Med       Date:  2017-08-30       Impact factor: 2.373

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.