ArticleJournal of the American Statistical Association2010
Informative Retesting.
Article in Journal of the American Statistical Association, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Improved HIV-1 Viral Load Monitoring Capacity Using Pooled Testing With Marker-Assisted Deconvolution.Journal of acquired immune deficiency syndromes (1999) · 2017Pooled it
- Multiple Summary Knowledge-Based Disease Prevalence Estimation for Group Testing Data.Statistics in medicine · 2026Article
- binGroup2: Statistical Tools for Infection Identification via Group Testing.The R journal · 2023Article
- Leveraging network structure to improve pooled testing efficiency.Journal of the Royal Statistical Society. Series C, Applied statistics · 2022Article
- Nested Group Testing Procedure.Communications in mathematics and statistics · 2022Article
- Smart pooling: AI-powered COVID-19 informative group testing.Scientific reports · 2022Article
- Estimating viral prevalence with data fusion for adaptive two-phase pooled sampling.Ecology and evolution · 2021Article
- Prediction-driven pooled testing methods: Application to HIV treatment monitoring in Rakai, Uganda.Statistics in medicine · 2021Article
- Discussion on "Is group testing ready for prime-time in disease identification".Statistics in medicine · 2021Article
- Considerations for Pooled Testing of Employees for SARS-CoV-2.Journal of occupational and environmental medicine · 2021Article
- Heterogeneity Aware Two-Stage Group Testing.IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society · 2021Article
- Group Testing for SARS-CoV-2 Allows for Up to 10-Fold Efficiency Increase Across Realistic Scenarios and Testing Strategies.Frontiers in public health · 2021Article
- Incorporating retesting outcomes for estimation of disease prevalence.Statistics in medicine · 2020Article
- The objective function controversy for group testing: Much ado about nothing?Statistics in medicine · 2019Article
- Informative group testing for multiplex assays.Biometrics · 2019Article
- Revisiting Nested Group Testing Procedures: New Results, Comparisons, and Robustness.The American statistician · 2019Article
- Optimal retesting configurations for hierarchical group testing.Journal of the Royal Statistical Society. Series C, Applied statistics · 2015Article
- Prevalence estimation subject to misclassification: the mis-substitution bias and some remedies.Statistics in medicine · 2014Article
- Regression analysis for multiple-disease group testing data.Statistics in medicine · 2013Article
- Two-stage hierarchical group testing for multiple infections with application to the infertility prevention project.Biometrics · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
In situations where individuals are screened for an infectious disease or other binary characteristic and where resources for testing are limited, group testing can offer substantial benefits. Group testing, where subjects are tested in groups (pools) initially, has been successfully applied to problems in blood bank screening, public health, drug discovery, genetics, and many other areas. In these applications, often the goal is to identify each individual as positive or negative using initial group tests and subsequent retests of individuals within positive groups. Many group testing identification procedures have been proposed; however, the vast majority of them fail to incorporate heterogeneity among the individuals being screened. In this paper, we present a new approach to identify positive individuals when covariate information is available on each. This covariate information is used to structure how retesting is implemented within positive groups; therefore, we call this new approach "informative retesting." We derive closed-form expressions and implementation algorithms for the probability mass functions for the number of tests needed to decode positive groups. These informative retesting procedures are illustrated through a number of examples and are applied to chlamydia and gonorrhea testing in Nebraska for the Infertility Prevention Project. Overall, our work shows compelling evidence that informative retesting can dramatically decrease the number of tests while providing accuracy similar to established non-informative retesting procedures.
Identifiers
What OpenQuestion holds
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.