Zhu Z, Schmidt PJ, Parker WJ, Emelko MB, 2024. A Framework to Quantify Uncertainty in Microplastics Concentrations in Wastewaters and Sludges Incorporating Analytical Recovery Information into Data Analysis. Journal of Analytical Chemistry, In Press.

Chowdhury OS, Schmidt PJ, Anderson WB, Emelko MB, 2023. Advancing Evaluation of Microplastics Thresholds to Inform Water Treatment Needs and Risks. Environment & Health, In Press.

de Brito Cruz D, Brown TJ, Jin C, Kundert KL, Ruecker NJ, Ballantyne L, Schmidt PJ, Anderson WB, Emelko MB, 2023. Filter Operation Effects on Plant-Scale Microbial Risk: Opportunities for Enhanced Treatment Performance. AWWA Water Science, 5(5):e1357.

Schmidt PJ, Acosta N, Chik AHS, D'Aoust P, Delatolla R, Dhiyebi H, Glier M, Hubert CRJ, Kopetzky J, Mangat C, Pang X-L, Peterson S, Prystajecky N, Qiu Y, Servos M, Emelko MB, 2023. Realizing the Value in “Non-standard” Parts of the qPCR Standard Curve by Integrating Fundamentals of Quantitative Microbiology. Frontiers in Microbiology – Systems Microbiology, 14:1048661.

Schmidt PJ, Cameron ES, Müller KM, Emelko MB, 2022. Ensuring that Fundamentals of Quantitative Microbiology are Reflected in Microbial Diversity Analyses based on Next-generation Sequencing. Frontiers in Microbiology, 13:728146.

Cameron ES, Schmidt PJ, Tremblay BJ-M, Emelko MB, Müller KM, 2021. Enhancing Diversity Analysis by Repeatedly Rarefying Next Generation Sequencing Data describing Microbial Communities. Scientific Reports, 11:22302.

Ramesh AK, Parreño V, Schmidt PJ, Lei S, Zhong W, Jiang X, Emelko MB, Yuan L, 2020. 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):955.

Schmidt PJ, Anderson WB, Emelko MB, 2020. Describing Water Treatment Process Performance: Why Average Log-reduction can be a Misleading Statistic. Water Research, 176:115702. [Reply to Comment: Water Research, 185:116266.]

Schmidt PJ, Emelko MBE, Thompson ME, 2020. Recognizing Structural Non-Identifiability: When Experiments Don’t Provide Information about Important Parameters and Misleading Models Can Still Have Great Fit. Risk Analysis, 40(2):352-369.

Emelko MB, Schmidt PJ, Borchardt MA, 2019. Confirming the Need for Virus Disinfection in Municipal Subsurface Drinking Water Supplies. Water Research, 157:356-364.

Chik AHS, Schmidt PJ, Emelko MB, 2018. Learning Something from Nothing: The Critical Importance of Rethinking Microbial Non-Detects. Frontiers in Microbiology, 9(2304):1-9.

Lapen DR, Schmidt PJ, Thomas JL, Edge T, Flemming C, Keithlin J, Neumann N, Pollari F, Ruecker N, Simhon A, Topp E, Wilkes G, Pintar KDM, 2016. Towards a More Accurate Quantitative Assessment of Seasonal Cryptosporidium Infection Risks in Surface Waters Using Species and Genotype Information. Water Research, 105:625-637.

Murphy HM, Thomas MK, Schmidt PJ, Medeiros DT, McFadyen S, Pintar KDM, 2016. Estimating the Burden of Acute Gastrointestinal Illness Due to Giardia, Cryptosporidium, Campylobacter, E. coli O157 and Norovirus Associated with Private Wells and Small Water Systems in Canada. Epidemiology and Infection, 144(7):1355-1370.

Schmidt PJ, 2015. Norovirus Dose-Response: Are Currently Available Data Informative Enough to Determine How Susceptible Humans Are to Infection from a Single Virus? Risk Analysis, 35(7):1364-1383.

Schmidt PJ, Emelko MB, Thompson ME, 2014. Variance Decomposition: A Tool Enabling Strategic Improvement of the Precision of Analytical Recovery and Concentration Estimates Associated with Microorganism Enumeration Methods. Water Research, 55:203-214.

Wilkes G, Brassard J, Edge T, Gannon V, Jokinen C, Jones TH, Neumann N, Pintar KDM, Ruecker N, Schmidt PJ, Sunohara M, Topp E, Lapen DR, 2013. Bacteria, Viruses, and Parasites in an Intermittent Stream Protected from and Exposed to Pasturing Cattle: Prevalence, Densities, and Quantitative Microbial Risk Assessment. Water Research, 47(16):6244-6257.

Schmidt PJ, Pintar KDM, Fazil AM, Flemming, CA, Lanthier M, Laprade N, Sunohara M, Simhon A, Thomas JL, Topp E, Wilkes G, Lapen DR, 2013. Using Campylobacter spp. Data and Bayesian Microbial Risk Assessment to Examine Public Health Risks in Agricultural Watersheds Under Tile Drainage Management. Water Research, 47(10):3255-3272.

Schmidt PJ, Emelko MB, Thompson ME, 2013. Analytical Recovery of Protozoan Enumeration Methods: Have Drinking Water QMRA Models Corrected or Created Bias? Water Research, 47(7):2399-2408.

Schmidt PJ, Pintar KDM, Fazil AM, Topp E, 2013. Harnessing the Theoretical Foundations of the Exponential and Beta-Poisson Dose-Response Models to Quantify Parameter Uncertainty Using Markov Chain Monte Carlo. Risk Analysis, 33(9):1677-1693.

Schmidt PJ, Emelko MB, 2011. QMRA and Decision-Making: Are We Handling Measurement Errors Associated with Pathogen Concentration Data Correctly? Water Research, 45(2):427-438.

Emelko MB, Schmidt PJ, Reilly PM, 2010. Particle and Microorganism Enumeration Data: Enabling Quantitative Rigor and Judicious Interpretation. Environmental Science and Technology, 44(5):1720-1727.

Schmidt PJ, Emelko MB, Reilly PM, 2010. Quantification of Analytical Recovery in Particle and Microorganism Enumeration Methods. Environmental Science and Technology, 44(5):1705-1712.

Emelko MB, Schmidt PJ, Roberson JA, 2008. Quantification of Uncertainty in Microbial Data – Reporting and Regulatory Implications. Journal of the American Water Works Association, 100(3):94-104.