Document Detail

To pool or not to pool, from whether to when: applications of pooling to biospecimens subject to a limit of detection.
MedLine Citation:
PMID:  18782255     Owner:  NLM     Status:  MEDLINE    
Pooling of biological specimens has been utilised as a cost-efficient sampling strategy, but cost is not the unique limiting factor in biomarker development and evaluation. We examine the effect of different sampling strategies of biospecimens for exposure assessment that cannot be detected below a detection threshold (DT). The paper compares use of pooled samples to a randomly selected sample from a cohort in order to evaluate the efficiency of parameter estimates. The proposed approach shows that a pooling design is more efficient than a random sample strategy under certain circumstances. Moreover, because pooling minimises the amount of information lost below the DT, the use of pooled data is preferable (in a context of a parametric estimation) to using all available individual measurements, for certain values of the DT. We propose a combined design, which applies pooled and unpooled biospecimens, in order to capture the strengths of the different sampling strategies and overcome instrument limitations (i.e. DT). Several Monte Carlo simulations and an example based on actual biomarker data illustrate the results of the article.
Enrique F Schisterman; Albert Vexler
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Paediatric and perinatal epidemiology     Volume:  22     ISSN:  1365-3016     ISO Abbreviation:  Paediatr Perinat Epidemiol     Publication Date:  2008 Sep 
Date Detail:
Created Date:  2008-09-10     Completed Date:  2008-11-28     Revised Date:  2009-11-18    
Medline Journal Info:
Nlm Unique ID:  8709766     Medline TA:  Paediatr Perinat Epidemiol     Country:  England    
Other Details:
Languages:  eng     Pagination:  486-96     Citation Subset:  IM    
Division of Epidemiology, Statistics and Prevention Research, National Institute of Child Health and Human Development, National Institutes of Health, Rockville, MD 20852, USA.
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MeSH Terms
Analytic Sample Preparation Methods / methods*
Biological Markers / analysis*
Monte Carlo Method
Sensitivity and Specificity
Grant Support
Z01 HD008761-05/HD/NICHD NIH HHS
Reg. No./Substance:
0/Biological Markers

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