ArticleAmerican journal of epidemiology2013
Specimen pooling for efficient use of biospecimens in studies of time to a common event.
Article in American journal of epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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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
13 citing papers in PubMed.
- Associations of gestational maternal urinary concentrations of individual and mixtures of parabens with cognition in 7.5-month-old infants.Environmental epidemiology (Philadelphia, Pa.) · 2026Article
- Associations of Exposure to Parabens During Pregnancy with Behavior in Early Childhood.Toxics · 2026Article
- Examining the association between gestational phenol exposure and infant non-nutritive suck in two Environmental influences on Child Health Outcomes cohorts.Environmental epidemiology (Philadelphia, Pa.) · 2025Article
- Privacy-preserving analysis of time-to-event data under nested case-control sampling.Statistical methods in medical research · 2024Article
- Associations of Prenatal Exposure to Phthalates with Measures of Cognition in 4.5-Month-Old Infants.International journal of environmental research and public health · 2021Article
- Determination of Varying Group Sizes for Pooling Procedure.Computational and mathematical methods in medicine · 2019Article
- Addressing data privacy in matched studies via virtual pooling.BMC medical research methodology · 2017Article
- Estimating relative risk of a log-transformed exposure measured in pools.Statistics in medicine · 2016Article
- An efficient design strategy for logistic regression using outcome- and covariate-dependent pooling of biospecimens prior to assay.Biometrics · 2016Article
- Case-control data analysis for randomly pooled biomarkers.Biometrical journal. Biometrische Zeitschrift · 2016Article
- Pooling Bio-Specimens in the Presence of Measurement Error and Non-Linearity in Dose-Response: Simulation Study in the Context of a Birth Cohort Investigating Risk Factors for Autism Spectrum Disorders.International journal of environmental research and public health · 2015Article
- A Discriminant Function Approach to Adjust for Processing and Measurement Error When a Biomarker is Assayed in Pooled Samples.International journal of environmental research and public health · 2015Article
- Associations of prenatal phthalate exposure with neurobehavioral outcomes in 4.5- and 7.5-month-old infants.Neurotoxicology and teratologyArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
For case-control studies that rely on expensive assays for biomarkers, specimen pooling offers a cost-effective and efficient way to estimate individual-level odds ratios. Pooling helps to conserve irreplaceable biospecimens for the future, mitigates limit-of-detection problems, and enables inclusion of individuals who have limited available volumes of biospecimen. Pooling can also allow the study of a panel of biomarkers under a fixed assay budget. Here, we extend this method for application to discrete-time survival studies. Assuming a proportional odds logistic model for risk of a common outcome, we propose a design strategy that forms pooling sets within those experiencing the outcome at the same event time. We show that the proposed design enables a cost-effective analysis to assess the association of a biomarker with the outcome. Because the standard likelihood is slightly misspecified for the proposed pooling strategy under a nonnull biomarker effect, the proposed approach produces slightly biased estimates of exposure odds ratios. We explore the extent of this bias via simulations and illustrate the method by revisiting a data set relating polychlorinated biphenyls and 1,1-dichloro-2,2-bis(p-chlorophenyl)ethylene to time to pregnancy.
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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.