artificial_bacteriaIPM | R Documentation |
Artificial dataset generated from the bacterial resistance data corresponding to the data for antibiotic Imipenem (IPM).
data(artificial_bacteriaIPM)
A data frame with 38 observations on the following 23 variables.
IZD
numeric, Inhibition zone diameter (IZD) values in (mm), which can attain values between 3 (mm) and 40 (mm)
nipmesbl
numeric, counts of the ESBL isolates for the antibiotic IPM
nipmesb1, nipmesb2, nipmesb3, nipmesb4, nipmesb5, nipmesb6, nipmesb7, nipmesb8, nipmesb9, nipmesb10, nipmesb11, nipmesb12, nipmesb13, nipmesb14, nipmesb15, nipmesb16, nipmesb17, nipmesb18, nipmesbl19
numeric, artificial counts of the ESBL isolates for the antibiotic IPM
nipmwt
numeric, counts of the wild-type isolates for the antibiotic IPM
scIZD
numeric, scaled IZD values to have mean 0 and standard deviation 1
We have generates artificial dataset given the data corresponding to antibiotic IPM in bacterial_resistance
. Artificially generated columns nipmesbl1
… nipmesbl19
ensure different separation levels in the data.
Hunanyan, S. and Kazantzidis, G. and Rue, H. and Roos, M (2021). Empirical determinacy in the Bayesian logistic regression in the presence of separation in the data (in preparation).
G. Valsesia, M. Hombach, F.P. Maurer, P. Courvalin, M. Roos, and E.C. Boettger. The resistant-population cutoff (RCOFF): a new concept for improved characterization of antimicrobial susceptibility patterns of non-wild-type bacterial populations. Journal of Clinical Microbiology, 53(6):1806-1811, 2015a.
G. Valsesia, M. Roos, E.C. Boettger, and M. Hombach. A statistical approach for determination of disk diffusion-based cutoff values for systematic characterization of wild-type and non-wild-type bacterial populations in antimicrobial susceptibility testing. Journal of Clinical Microbiology, 53(6):1812-1822, 2015b.
bacterial_resistance
data(artificial_bacteriaIPM) str(artificial_bacteriaIPM)
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