Literature DB >> 1359621

Estimating prevalence by group testing using generalized linear models.

C P Farrington1.   

Abstract

A method is described for estimating prevalence by group testing using generalized linear models. This provides a simple way of analysing such data using widely available software. Existing methodology to correct for overdispersion using quasi-likelihoods is applied to the group testing model. The methods are illustrated by an estimation of salmonella contamination in eggs, and of yellow fever virus infection in a mosquito population.

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Year:  1992        PMID: 1359621     DOI: 10.1002/sim.4780111206

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


  13 in total

1.  High-throughput procedure for tick surveys of tick-borne encephalitis virus and its application in a national surveillance study in Switzerland.

Authors:  Rahel Gäumann; Kathrin Mühlemann; Marc Strasser; Christian M Beuret
Journal:  Appl Environ Microbiol       Date:  2010-05-07       Impact factor: 4.792

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.  Optimality of group testing in the presence of misclassification.

Authors:  Aiyi Liu; Chunling Liu; Zhiwei Zhang; Paul S Albert
Journal:  Biometrika       Date:  2011-12-29       Impact factor: 2.445

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.  Prevalence estimation subject to misclassification: the mis-substitution bias and some remedies.

Authors:  Zhiwei Zhang; Chunling Liu; Sungduk Kim; Aiyi Liu
Journal:  Stat Med       Date:  2014-07-18       Impact factor: 2.373

7.  Leishmania spp. Infection Rate and Feeding Patterns of Sand Flies (Diptera: Psychodidae) from a Hyperendemic Cutaneous Leishmaniasis Community in Panamá.

Authors:  Chystrie A Rigg; José E Calzada; Azael Saldaña; Milixa Perea; Luis F Chaves; Anayansi Valderrama
Journal:  Am J Trop Med Hyg       Date:  2019-04       Impact factor: 2.345

8.  Capturing the pool dilution effect in group testing regression: A Bayesian approach.

Authors:  Stella Self; Christopher McMahan; Stefani Mokalled
Journal:  Stat Med       Date:  2022-07-25       Impact factor: 2.497

9.  Bias, efficiency, and agreement for group-testing regression models.

Authors:  Christopher R Bilder; Joshua M Tebbs
Journal:  J Stat Comput Simul       Date:  2009-01-01       Impact factor: 1.424

10.  Improved confidence intervals of a small probability from pooled testing with misclassification.

Authors:  Chunling Liu; Aiyi Liu; Bo Zhang; Zhiwei Zhang
Journal:  Front Public Health       Date:  2013-10-07
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