Bias, efficiency, and agreement for group-testing regression models.
about
Regression analysis for multiple-disease group testing data.A general regression framework for group testing data, which incorporates pool dilution effects.Informative Retesting.Estimating HIV prevalence from surveys with low individual consent rates: annealing individual and pooled samples.Global goodness-of-fit tests for group testing regression models.Group testing regression models with fixed and random effects.Group testing regression models with dilution submodels.Estimating covariate-adjusted measures of diagnostic accuracy based on pooled biomarker assessments.
P2860
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P2860
Bias, efficiency, and agreement for group-testing regression models.
description
article científic
@ca
article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on January 2009
@en
vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Bias, efficiency, and agreement for group-testing regression models.
@en
Bias, efficiency, and agreement for group-testing regression models.
@nl
type
label
Bias, efficiency, and agreement for group-testing regression models.
@en
Bias, efficiency, and agreement for group-testing regression models.
@nl
prefLabel
Bias, efficiency, and agreement for group-testing regression models.
@en
Bias, efficiency, and agreement for group-testing regression models.
@nl
P2860
P1476
Bias, efficiency, and agreement for group-testing regression models.
@en
P2093
Christopher R Bilder
Joshua M Tebbs
P2860
P356
10.1080/00949650701608990
P577
2009-01-01T00:00:00Z