Regression models for disease prevalence with diagnostic tests on pools of serum samples.
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Semiparametric regression models for a right-skewed outcome subject to pooling.Group testing in heterogeneous populations by using halving algorithmsRegression for skewed biomarker outcomes subject to poolingRegression models for group testing data with pool dilution effects.Regression analysis for multiple-disease group testing data.Positing, fitting, and selecting regression models for pooled biomarker data.A general regression framework for group testing data, which incorporates pool dilution effects.Logistic regression analysis of biomarker data subject to pooling and dichotomization.Pooling designs for outcomes under a Gaussian random effects model.Prevalence estimation subject to misclassification: the mis-substitution bias and some remediesInformative Retesting.A highly efficient design strategy for regression with outcome pooling.Estimating Disease Prevalence Using Inverse Binomial Pooled Testing.Mycobacteria in terrestrial small mammals on cattle farms in TanzaniabinGroup: A Package for Group Testing.Two-stage hierarchical group testing for multiple infections with application to the infertility prevention project.Informative Dorfman screening.Bayesian regression for group testing data.Likelihood-based methods for regression analysis with binary exposure status assessed by pooling.Estimating HIV prevalence from surveys with low individual consent rates: annealing individual and pooled samples.Group testing regression model estimation when case identification is a goal.Bias, efficiency, and agreement for group-testing regression models.Global goodness-of-fit tests for group testing regression models.Evaluation of a Frequentist Hierarchical Model to Estimate Prevalence when sampling from a large geographic area using Pool Screening.Group testing regression models with fixed and random effects.Estimating the prevalence of multiple diseases from two-stage hierarchical pooling.Estimating the prevalence of infections in vector populations using pools of samples.Group testing regression models with dilution submodels.A general framework for the regression analysis of pooled biomarker assessments.Estimating relative risk of a log-transformed exposure measured in pools.On latent-variable model misspecification in structural measurement error models for binary responseEstimating covariate-adjusted measures of diagnostic accuracy based on pooled biomarker assessments.Misclassified group-tested current status data.
P2860
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P2860
Regression models for disease prevalence with diagnostic tests on pools of serum samples.
description
2000 nî lūn-bûn
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2000年の論文
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2000年学术文章
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2000年学术文章
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name
Regression models for disease prevalence with diagnostic tests on pools of serum samples.
@en
Regression models for disease prevalence with diagnostic tests on pools of serum samples.
@nl
type
label
Regression models for disease prevalence with diagnostic tests on pools of serum samples.
@en
Regression models for disease prevalence with diagnostic tests on pools of serum samples.
@nl
prefLabel
Regression models for disease prevalence with diagnostic tests on pools of serum samples.
@en
Regression models for disease prevalence with diagnostic tests on pools of serum samples.
@nl
P2860
P1433
P1476
Regression models for disease prevalence with diagnostic tests on pools of serum samples.
@en
P2093
Goetghebeur E
Verstraeten T
P2860
P304
P356
10.1111/J.0006-341X.2000.01126.X
P407
P577
2000-12-01T00:00:00Z