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Canales, R. A., Wilson, A. M., Pearce-Walker, J. I., Verhougstraete, M. P., & Reynolds, K. A. (2018). Methods for handling left-censored data in quantitative microbial risk assessment. Applied and environmental microbiology, 84(20), e01203-18.
Canales, Robert A., et al. "Methods for handling left-censored data in quantitative microbial risk assessment." Applied and environmental microbiology 84.20 (2018): e01203-18.
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RA Canales, AM Wilson, JI Pearce-Walker… - Applied and …, 2018 - Am Soc Microbiol

Methods for handling left-censored data in quantitative microbial risk assessment.

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Canales, Wilson

GSID: DUCbfb_B8SAJ

Excerpt

Data below detection limits, left-censored data, are common in environmental microbiology, and decisions in handling censored data may have implications for quantitative microbial risk assessment (QMRA). In this paper, we utilize simulated data sets informed by real-world enterovirus water data to evaluate methods for handling left-censored data. Data sets were simulated with four censoring degrees (low [10%], medium [35%], high [65%], and severe [90%]) and one real-life censoring example (97%) and were informed by enterovirus data …

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