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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