Sample size guidelines for fitting a lognormal probability distribution to censored most probable number data with a Markov chain Monte Carlo method.

@article{Williams2013SampleSG,
  title={Sample size guidelines for fitting a lognormal probability distribution to censored most probable number data with a Markov chain Monte Carlo method.},
  author={Michael Steven Williams and Yong Min Cao and Eric D. Ebel},
  journal={International journal of food microbiology},
  year={2013},
  volume={165 2},
  pages={
          89-96
        }
}
Levels of pathogenic organisms in food and water have steadily declined in many parts of the world. A consequence of this reduction is that the proportion of samples that test positive for the most contaminated product-pathogen pairings has fallen to less than 0.1. While this is unequivocally beneficial to public health, datasets with very few enumerated samples present an analytical challenge because a large proportion of the observations are censored values. One application of particular… CONTINUE READING

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