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Microbiological data can be found in the data base of our hospital microbiology department.
As a first step, microbiological data were log10-transformed.
We conducted a chart review to validate linked microbiological data.
Here, we evaluated the generalizability of a nonlinear time-series analysis approach for identifying thresholds using historical prescribing and microbiological data from five populations in Europe.
Microbiological data correlated poorly with both sensory and GC/MS data.
Microbiological data showed interesting in vitro activity toward Mycobacterium tuberculosis and atypical mycobacteria.
Microbiological data become obviously crucial.
Microbiological data are outlined in Table 1.
Clinical, hemodynamic and microbiological data were collected.
Demographic, clinical and microbiological data were collected.
VAP was defined using clinical, radiologic and quantitative microbiological data.
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