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• W2100691106 abstract "This paper provides a general statistical methodology for modeling environmental pathogen concentrations in natural waters. A hierarchical model of pathogen concentrations captures site and regional random effects as well as random laboratory recovery rates. Recovery rates were modeled by a generalized linear mixed model. Two classes of pathogen concentration models are differentiated according to their ultimate purpose: water quality prediction or health risk analysis. A fully Bayesian analysis using Markov chain Monte Carlo (MCMC) simulation is used for statistical inference. The applicability of this methodology is illustrated by the analysis of a national survey of Cryptosporidium parvum concentrations, in which 93% of the observations were zero counts." @default.
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• W2100691106 date "2003-09-01" @default.
• W2100691106 modified "2023-10-15" @default.
• W2100691106 title "Modeling the U.S. national distribution of waterborne pathogen concentrations with application to<i>Cryptosporidium parvum</i>" @default.
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• W2100691106 doi "https://doi.org/10.1029/2002wr001664" @default.
• W2100691106 hasPublicationYear "2003" @default.
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