ArticleBiometrics2009
Group testing regression models with fixed and random effects.
Article in Biometrics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Current Gaps in Survey Design and Analysis for Molecular Xenomonitoring of Vector-Borne Neglected Tropical Diseases: A Systematic Review.Tropical medicine & international health : TM & IH · 2025Pooled it
- Bayesian Additive Regression Trees for Group Testing Data.Statistics in medicine · 2025Article
- Article
- Bayesian group testing regression models for spatial data.Spatial and spatio-temporal epidemiology · 2024Article
- The efficient design of Nested Group Testing algorithms for disease identification in clustered data.Journal of applied statistics · 2023Article
- Generalized additive regression for group testing data.Biostatistics (Oxford, England) · 2021Article
- Estimating viral prevalence with data fusion for adaptive two-phase pooled sampling.Ecology and evolution · 2021Article
- Infectious diseases epidemiology, quantitative methodology, and clinical research in the midst of the COVID-19 pandemic: Perspective from a European country.Contemporary clinical trials · 2020Article
- From mixed effects modeling to spike and slab variable selection: A Bayesian regression model for group testing data.Biometrics · 2020Article
- Incorporating retesting outcomes for estimation of disease prevalence.Statistics in medicine · 2020Article
- Regression analysis and variable selection for two-stage multiple-infection group testing data.Statistics in medicine · 2019Article
- Adaptive elastic net for group testing.Biometrics · 2019Article
- Determination of Varying Group Sizes for Pooling Procedure.Computational and mathematical methods in medicine · 2019Article
- Logistic regression with a continuous exposure measured in pools and subject to errors.Statistics in medicine · 2018Article
- Group testing regression models with dilution submodels.Statistics in medicine · 2017Article
- Bayesian regression for group testing data.Biometrics · 2017Article
- A general framework for the regression analysis of pooled biomarker assessments.Statistics in medicine · 2017Article
- Misclassified group-tested current status data.Biometrika · 2016Article
- Estimating the prevalence of multiple diseases from two-stage hierarchical pooling.Statistics in medicine · 2016Article
- A highly efficient design strategy for regression with outcome pooling.Statistics in medicine · 2014Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Group testing, where subjects are tested in pools rather than individually, has a long history of successful application in infectious disease screening. In this article, we develop group testing regression models to include covariate effects that are best regarded as random. We present approaches to fit mixed effects models using maximum likelihood, investigate likelihood ratio and score tests for variance components, and evaluate small sample performance using simulation. We illustrate our methods using chlamydia and gonorrhea data collected by the state of Nebraska as part of the Infertility Prevention Project.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.