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1.
Framework to Quantify Uncertainty in Microplastic Concentrations in Wastewaters and Sludges Incorporating Analytical Recovery Information into Data Analysis.
Anal Chem
; 96(16): 6245-6254, 2024 Apr 23.
Artículo
en Inglés
| MEDLINE | ID: mdl-38593420
2.
Recognizing Structural Nonidentifiability: When Experiments Do Not Provide Information About Important Parameters and Misleading Models Can Still Have Great Fit.
Risk Anal
; 40(2): 352-369, 2020 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-31441953
3.
Norovirus Dose-Response: Are Currently Available Data Informative Enough to Determine How Susceptible Humans Are to Infection from a Single Virus?
Risk Anal
; 35(7): 1364-83, 2015 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-25522208
4.
Drinking water QMRA and decision-making: Sensitivity of risk to common independence assumptions about model inputs.
Water Res
; 259: 121877, 2024 Jun 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-38870891
5.
Harnessing the theoretical foundations of the exponential and beta-Poisson dose-response models to quantify parameter uncertainty using Markov Chain Monte Carlo.
Risk Anal
; 33(9): 1677-93, 2013 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-23311599
6.
Realizing the value in "non-standard" parts of the qPCR standard curve by integrating fundamentals of quantitative microbiology.
Front Microbiol
; 14: 1048661, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-36937263
7.
Comment on "Guidelines for Use of the Approximate Beta-Poisson Dose-Response Model": Previously Published Guidelines Continue to be Ignored.
Risk Anal
; 37(2): 196-200, 2017 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-28324624
8.
Ensuring That Fundamentals of Quantitative Microbiology Are Reflected in Microbial Diversity Analyses Based on Next-Generation Sequencing.
Front Microbiol
; 13: 728146, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35300475
9.
Comment on "Cryptosporidium Infection Risk: Results of New Dose-Response Modeling" - Discussion of Underlying Assumptions and Their Implications.
Risk Anal
; 36(12): 2189-2192, 2016 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-28085218
10.
Enhancing diversity analysis by repeatedly rarefying next generation sequencing data describing microbial communities.
Sci Rep
; 11(1): 22302, 2021 11 16.
Artículo
en Inglés
| MEDLINE | ID: mdl-34785722
11.
Describing water treatment process performance: Why average log-reduction can be a misleading statistic.
Water Res
; 176: 115702, 2020 Jun 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-32247998
12.
Evaluation of the 50% Infectious Dose of Human Norovirus Cin-2 in Gnotobiotic Pigs: A Comparison of Classical and Contemporary Methods for Endpoint Estimation.
Viruses
; 12(9)2020 08 28.
Artículo
en Inglés
| MEDLINE | ID: mdl-32872283
13.
Learning Something From Nothing: The Critical Importance of Rethinking Microbial Non-detects.
Front Microbiol
; 9: 2304, 2018.
Artículo
en Inglés
| MEDLINE | ID: mdl-30344512
14.
Reply to Comment on "Describing water treatment process performance: Why average log-reduction can be a misleading statistic" by Schmidt, P.J., Anderson, W.B., and Emelko, M.B. [Water Research 176 (2020), 115702].
Water Res
; 185: 116266, 2020 10 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-32791456
15.
Quantification of analytical recovery in particle and microorganism enumeration methods.
Environ Sci Technol
; 44(5): 1705-12, 2010 Mar 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-20108894
16.
Particle and microorganism enumeration data: enabling quantitative rigor and judicious interpretation.
Environ Sci Technol
; 44(5): 1720-7, 2010 Mar 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-20121082
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