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dc.contributor.authorChristen, J. Andrés
dc.contributor.authorParker, Albert E.
dc.identifier.citationChristen, J. A., & Parker, A. E. (2020). Systematic statistical analysis of microbial data from dilution series. Journal of Agricultural, Biological and Environmental Statistics, 25(3), 339-364.en_US
dc.description.abstractIn microbial studies, samples are often treated under different experimental conditions and then tested for microbial survival. A technique, dating back to the 1880's, consists of diluting the samples several times and incubating each dilution to verify the existence of microbial Colony Forming Units or CFU's, seen by the naked eye. The main problem in the dilution series data analysis is the uncertainty quantification of the simple point estimate of the original number of CFU's in the sample (i.e., at dilution zero). Common approaches such as log-normal or Poisson models do not seem to handle well extreme cases with low or high counts, among other issues. We build a novel binomial model, based on the actual design of the experimental procedure including the dilution series. For repetitions we construct a hierarchical model for experimental results from a single lab and in turn a higher hierarchy for inter-lab analyses. Results seem promising, with a systematic treatment of all data cases, including zeros, censored data, repetitions, intra and inter-laboratory studies. Using a Bayesian approach, a robust and efficient MCMC method is used to analyze several real data sets.en_US
dc.publisherSpringer Science and Business Media LLCen_US
dc.rightsCopyright 2020en_US
dc.titleSystematic Statistical Analysis of Microbial Data from Dilution Seriesen_US
mus.citation.journaltitleJournal of Agricultural, Biological and Environmental Statisticsen_US
mus.relation.collegeCollege of Engineeringen_US
mus.relation.collegeCollege of Letters & Scienceen_US
mus.relation.departmentCenter for Biofilm Engineering.en_US
mus.relation.departmentMathematical Sciences.en_US
mus.relation.universityMontana State University - Bozemanen_US
mus.relation.researchgroupCenter for Biofilm Engineering.en_US

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