Harnessing the theoretical foundations of the exponential and beta-Poisson dose-response models to quantify parameter uncertainty using Markov Chain Monte Carlo.

Harnessing the theoretical foundations of the exponential and beta-Poisson dose-response models to quantify parameter uncertainty using Markov Chain Monte Carlo.

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http://www.wikidata.org/entity/Q42279113
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.Norovirus Dose-Response: Are Currently Available Data Informative Enough to Determine How Susceptible Humans Are to Infection from a Single Virus?Bacterial Cooperation Causes Systematic Errors in Pathogen Risk Assessment due to the Failure of the Independent Action Hypothesis.Dose-response relationships for environmentally mediated infectious disease transmission modelsChanging US Population Demographics: What Does This Mean for Listeriosis Incidence and Exposure?Comparison of Risk Predicted by Multiple Norovirus Dose-Response Models and Implications for Quantitative Microbial Risk Assessment.Dose-response algorithms for water-borne Pseudomonas aeruginosa folliculitis.Guidelines for Use of the Approximate Beta-Poisson Dose-Response Model.Quantitative Microbial Risk Assessment for Spray Irrigation of Dairy Manure Based on an Empirical Fate and Transport Model.QMRA for Drinking Water: 2. The Effect of Pathogen Clustering in Single-Hit Dose-Response Models.QMRA for Drinking Water: 1. Revisiting the Mathematical Structure of Single-Hit Dose-Response Models.Listeria monocytogenes dose response revisited--incorporating adjustments for variability in strain virulence and host susceptibility.Fractional poisson--a simple dose-response model for human norovirus.Authors' Response to Comment on "Guidelines for Use of the Approximate Beta-Poisson Dose-Response Model" - Previously Published Guidelines Continue to Be Ignored.
P2860

Harnessing the theoretical foundations of the exponential and beta-Poisson dose-response models to quantify parameter uncertainty using Markov Chain Monte Carlo.

Item
http://www.wikidata.org/entity/Q42279113
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
2013年论文
@zh
2013年论文
@zh-cn
name
Harnessing the theoretical fou ...... sing Markov Chain Monte Carlo.
@en
Harnessing the theoretical fou ...... sing Markov Chain Monte Carlo.
@nl
type
label
Harnessing the theoretical fou ...... sing Markov Chain Monte Carlo.
@en
Harnessing the theoretical fou ...... sing Markov Chain Monte Carlo.
@nl
prefLabel
Harnessing the theoretical fou ...... sing Markov Chain Monte Carlo.
@en
Harnessing the theoretical fou ...... sing Markov Chain Monte Carlo.
@nl
P1433
P1476
P2093
P2860
P304
P31
P356
P433
P478
P50
P577
P698
P356
P1433
P1476
Harnessing the theoretical fou ...... sing Markov Chain Monte Carlo.
@en
P2093
P2860
P304
P31
P356
P433
P478
P50
P577
P698