Comparison of Algorithm-based Estimates of Occupational Diesel Exhaust Exposure to Those of Multiple Independent Raters in a Population-based Case–Control Study

OBJECTIVES: Algorithm-based exposure assessments based on patterns in questionnaire responses and professional judgment can readily apply transparent exposure decision rules to thousands of jobs quickly. However, we need to better understand how algorithms compare to a one-by-one job review by an ex...

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Bibliographische Detailangaben
Hauptverfasser: Friesen, Melissa C., Pronk, Anjoeka, Wheeler, David C., Chen, Yu-Cheng, Locke, Sarah J., Zaebst, Dennis D., Schwenn, Molly, Johnson, Alison, Waddell, Richard, Baris, Dalsu, Colt, Joanne S., Silverman, Debra T., Stewart, Patricia A., Katki, Hormuzd A.
Format: Artigo
Sprache:Inglês
Veröffentlicht: Oxford University Press 2013
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Original Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3629988/
https://ncbi.nlm.nih.gov/pubmed/23184256
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/annhyg/mes082
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