ArticleStatistics in medicine2015
Positing, fitting, and selecting regression models for pooled biomarker data.
Article in Statistics in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Serum levels of adipokines in gestational diabetes: a systematic review.Journal of endocrinological investigation · 2019Pooled it
- Modeling the ratio of correlated biomarkers using copula regression.Statistical methods in medical research · 2025Article
- Assessing disparities in Americans' exposure to PCBs and PBDEs based on NHANES pooled biomonitoring data.Journal of the American Statistical Association · 2023Article
- freqpcr: Estimation of population allele frequency using qPCR ΔΔCq measures from bulk samples.Molecular ecology resources · 2022Article
- Gamma models for estimating the odds ratio for a skewed biomarker measured in pools and subject to errors.Biostatistics (Oxford, England) · 2021Article
- Exposure to Persistent Organic Pollutants and Birth Characteristics: The Upstate KIDS Study.Epidemiology (Cambridge, Mass.) · 2019Article
- Estimating relative risk of a log-transformed exposure measured in pools.Statistics in medicine · 2016Article
- Minority stress and inflammatory mediators: covering moderates associations between perceived discrimination and salivary interleukin-6 in gay men.Journal of behavioral medicine · 2016Article
- Case-control data analysis for randomly pooled biomarkers.Biometrical journal. Biometrische Zeitschrift · 2016Article
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
Pooling biospecimens prior to performing lab assays can help reduce lab costs, preserve specimens, and reduce information loss when subject to a limit of detection. Because many biomarkers measured in epidemiological studies are positive and right-skewed, proper analysis of pooled specimens requires special methods. In this paper, we develop and compare parametric regression models for skewed outcome data subject to pooling, including a novel parameterization of the gamma distribution that takes full advantage of the gamma summation property. We also develop a Monte Carlo approximation of Akaike's Information Criterion applied to pooled data in order to guide model selection. Simulation studies and analysis of motivating data from the Collaborative Perinatal Project suggest that using Akaike's Information Criterion to select the best parametric model can help ensure valid inference and promote estimate precision.
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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.