| Enhancing diversity analysis by repeatedly rarefying next generation sequencing data describing microbial communities ES Cameron, PJ Schmidt, BJM Tremblay, MB Emelko, KM Müller Scientific Reports 11 (1), 1-13, 2021 | 160* | 2021 |
| Estimating the burden of acute gastrointestinal illness due to Giardia, Cryptosporidium, Campylobacter, E. coli O157 and norovirus associated with private wells … HM Murphy, MK Thomas, PJ Schmidt, DT Medeiros, S McFadyen, ... Epidemiology & Infection 144 (7), 1355-1370, 2016 | 123 | 2016 |
| Norovirus Dose–Response: Are Currently Available Data Informative Enough to Determine How Susceptible Humans Are to Infection from a Single Virus? PJ Schmidt Risk Analysis 35 (7), 1364-1383, 2015 | 72 | 2015 |
| Harnessing the Theoretical Foundations of the Exponential and Beta‐Poisson Dose‐Response Models to Quantify Parameter Uncertainty Using Markov Chain Monte Carlo PJ Schmidt, KDM Pintar, AM Fazil, E Topp Risk Analysis 33 (9), 1677-1693, 2013 | 52 | 2013 |
| Learning something from nothing: the critical importance of rethinking microbial non-detects AHS Chik, PJ Schmidt, MB Emelko Frontiers in Microbiology 9, 2304, 2018 | 43 | 2018 |
| Towards a more accurate quantitative assessment of seasonal Cryptosporidium infection risks in surface waters using species and genotype information DR Lapen, PJ Schmidt, JL Thomas, TA Edge, C Flemming, J Keithlin, ... Water Research 105, 625-637, 2016 | 41 | 2016 |
| QMRA and decision-making: Are we handling measurement errors associated with pathogen concentration data correctly? PJ Schmidt, MB Emelko Water research 45 (2), 427-438, 2011 | 41 | 2011 |
| Quantification of uncertainty in microbial data—reporting and regulatory implications MB Emelko, PJ Schmidt, JA Roberson Journal (American Water Works Association) 100 (3), 94-104, 2008 | 39 | 2008 |
| Bacteria, viruses, and parasites in an intermittent stream protected from and exposed to pasturing cattle: prevalence, densities, and quantitative microbial risk assessment G Wilkes, J Brassard, TA Edge, V Gannon, CC Jokinen, TH Jones, ... Water research 47 (16), 6244-6257, 2013 | 38 | 2013 |
| Using Campylobacter spp. and Escherichia coli data and Bayesian microbial risk assessment to examine public health risks in agricultural watersheds under tile drainage management PJ Schmidt, KDM Pintar, AM Fazil, CA Flemming, M Lanthier, N Laprade, ... Water research 47 (10), 3255-3272, 2013 | 34 | 2013 |
| Particle and microorganism enumeration data: enabling quantitative rigor and judicious interpretation MB Emelko, PJ Schmidt, PM Reilly Environmental science & technology 44 (5), 1720-1727, 2010 | 29 | 2010 |
| Quantification of analytical recovery in particle and microorganism enumeration methods PJ Schmidt, MB Emelko, PM Reilly Environmental science & technology 44 (5), 1705-1712, 2010 | 24 | 2010 |
| Describing water treatment process performance: Why average log-reduction can be a misleading statistic PJ Schmidt, WB Anderson, MB Emelko Water research 176, 115702, 2020 | 22 | 2020 |
| Analytical recovery of protozoan enumeration methods: Have drinking water QMRA models corrected or created bias? PJ Schmidt, MB Emelko, ME Thompson Water research 47 (7), 2399-2408, 2013 | 21 | 2013 |
| Confirming the need for virus disinfection in municipal subsurface drinking water supplies MB Emelko, PJ Schmidt, MA Borchardt Water research 157, 356-364, 2019 | 20 | 2019 |
| Evaluation of the 50% Infectious Dose of Human Norovirus Cin-2 in Gnotobiotic Pigs: A Comparison of Classical and Contemporary Methods for Endpoint Estimation AK Ramesh, V Parreño, PJ Schmidt, S Lei, W Zhong, X Jiang, MB Emelko, ... Viruses 12 (9), 955, 2020 | 18 | 2020 |
| Recognizing structural nonidentifiability: When experiments do not provide information about important parameters and misleading models can still have great fit PJ Schmidt, MB Emelko, ME Thompson Risk Analysis 40 (2), 352-369, 2020 | 18 | 2020 |
| Ensuring that fundamentals of quantitative microbiology are reflected in microbial diversity analyses based on next-generation sequencing P Schmidt, E Cameron, K Müller, M Emelko Frontiers in microbiology 13, 2022 | 16 | 2022 |
| Realizing the value in “non-standard” parts of the qPCR standard curve by integrating fundamentals of quantitative microbiology PJ Schmidt, N Acosta, AHS Chik, PM D’Aoust, R Delatolla, HA Dhiyebi, ... Frontiers in microbiology 14, 1048661, 2023 | 9 | 2023 |
| Variance decomposition: A tool enabling strategic improvement of the precision of analytical recovery and concentration estimates associated with microorganism enumeration methods PJ Schmidt, MB Emelko, ME Thompson Water research 55, 203-214, 2014 | 7 | 2014 |
Monica EmelkoProfessor and Canada Research Chair in Water Science, Technology & Policy, University of WaterlooVerified email at uwaterloo.ca
