ArticleApplied and environmental microbiology2018
Methods for Handling Left-Censored Data in Quantitative Microbial Risk Assessment.
Article in Applied and environmental microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Assessment of Bacterial Communities in Raw Milk Cheeses from Central Poland Using Culture-Based Methods and 16S rRNA Amplicon Sequencing.Foods (Basel, Switzerland) · 2025Article
- Improving accuracy in genome-wide association studies: a two-step approach for handling below limit of detection biomarker measurements.NAR genomics and bioinformatics · 2025Article
- A risk-risk tradeoff approach for incorporating the public's risk perceptions into quantitative microbial risk assessment.Journal of occupational and environmental hygiene · 2025Article
- Extended spectrum β-lactamase-producing Enterobacterales in live and dead birds from rural poultry farms and urban live bird markets of Bangladesh.Frontiers in microbiology · 2025Article
- Uptake of Per- and Polyfluoroalkyl Substances in Mixed Forages on Biosolid-Amended Farm Fields.Journal of agricultural and food chemistry · 2024Article
- Trace Element Concentrations of Arsenic and Selenium in Toenails and Risk of Prostate Cancer among Pesticide Applicators.Current oncology (Toronto, Ont.) · 2024Article
- Maximum likelihood estimators for colony-forming units.Microbiology spectrum · 2024Review
- Data-driven systematic analysis of waterborne viruses and health risks during the wastewater reclamation process.Environmental science and ecotechnology · 2024Article
- Human adenovirus-associated health risk in the recreational waters of the Yal-ku lagoon in the Mexican Caribbean.Journal of water and health · 2024Article
- Development of a highly sensitive and specific intact proviral DNA assay for HIV-1 subtype B and C.Virology journal · 2024Article
- Article
- Producing ratio measures of effect with quantitative microbial risk assessment.Risk analysis : an official publication of the Society for Risk Analysis · 2023Article
- Networks of placental DNA methylation correlate with maternal serum PCB concentrations and child neurodevelopment.Environmental research · 2023Article
- Morphologic alterations of the fear circuitry: the role of sex hormones and oral contraceptives.Frontiers in endocrinology · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 assuming a lognormal distribution with a limit of detection (LOD) of 2.3 genome copies/liter. For each data set, five methods for handling left-censored data were applied: (i) substitution with LOD/[Formula: see text], (ii) lognormal maximum likelihood estimation (MLE) to estimate mean and standard deviation, (iii) Kaplan-Meier estimation (KM), (iv) imputation method using MLE to estimate distribution parameters (MI method 1), and (v) imputation from a uniform distribution (MI method 2). Each data set mean was used to estimate enterovirus dose and infection risk. Root mean square error (RMSE) and bias were used to compare estimated and known doses and infection risks. MI method 1 resulted in the lowest dose and infection risk RMSE and bias ranges for most censoring degrees, predicting infection risks at most 1.17 × 10
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