Evaluating Average MIC over Time Using a Baysian Latent Class Mixture Model: Examples from a Salmonella enterica Serovar Typhimurium and S. enterica Serovar 4,[5], 12:i:-
Abstract
The minimum inhibitory concentration is a measure of resistance to an antibiotic that is used commonly to describe the resistance of an isolate. As these data arise from a serial dilution experiment, the average MIC cannot be calculated using the standard average formula. As a consequence, MIC data often dichotomized based on a threshold that splits the population into two (resistant and non-resistant) or three categories (susceptible, resistant, intermediate) and the changes the proportion of bacteria in the population evaluated. This approach although valid can result in a less complete picture of the patterns of MIC seen in the bacterial communities, in particular, gradual increases (MIC creep) and decreases (MIC decline) below the threshold of resistance.
How to Cite:
Krull, A., Kreuder, A., O'Connor, A., Wang, C. & Zhang, M., (2019) “Evaluating Average MIC over Time Using a Baysian Latent Class Mixture Model: Examples from a Salmonella enterica Serovar Typhimurium and S. enterica Serovar 4,[5], 12:i:-”, SafePork 13(1), 66. doi: https://doi.org//safepork.11154
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