Literature DB >> 21312217

Important issues related to using pooled samples for environmental chemical biomonitoring.

Samuel P Caudill1.   

Abstract

Pooling samples for analysis was first proposed in the 1940s to reduce analytical measurement costs associated with screening World War II recruits for syphilis. Later, it progressed to more complex screening strategies, to population prevalence estimation for discrete quantities, and to population mean estimation for continuous quantities. Recently, pooled samples have also been used to provide efficient alternatives for gene microarray analyses, epidemiologic studies of biomarkers of exposure, and characterization of populations regarding environmental chemical exposures. In this study, we address estimation and bias issues related to using pooled-sample variance information from an auxiliary source to augment pooled-sample variance estimates from the study of interest. The findings are illustrated by using pooled samples from the National Health and Nutrition Examination Survey 2001-2002 to assess exposures to perfluorooctanesulfonate and other polyfluoroalkyl compounds in the U.S. population. Published in 2011 by John Wiley & Sons, Ltd.

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Year:  2011        PMID: 21312217     DOI: 10.1002/sim.3885

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  3 in total

1.  Use of pooled samples from the National Health and Nutrition Examination Survey.

Authors:  Samuel P Caudill
Journal:  Stat Med       Date:  2012-04-11       Impact factor: 2.373

2.  Positing, fitting, and selecting regression models for pooled biomarker data.

Authors:  Emily M Mitchell; Robert H Lyles; Enrique F Schisterman
Journal:  Stat Med       Date:  2015-04-06       Impact factor: 2.373

3.  Pooling samples for "top-down" molecular exposomics research: the methodology.

Authors:  Heqing Shen; Weipan Xu; Siyuan Peng; Hagen Scherb; Jianwen She; Kristina Voigt; Ambreen Alamdar; Karl-Werner Schramm
Journal:  Environ Health       Date:  2014-02-13       Impact factor: 5.984

  3 in total

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