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		| @@ -33,7 +33,7 @@ Conducting AMR data analysis unfortunately requires in-depth knowledge from diff | ||||
| * Good questions (always start with those!) | ||||
| * A thorough understanding of (clinical) epidemiology, to understand the clinical and epidemiological relevance and possible bias of results | ||||
| * A thorough understanding of (clinical) microbiology/infectious diseases, to understand which microorganisms are causal to which infections and the implications of pharmaceutical treatment, as well as understanding intrinsic and acquired microbial resistance | ||||
| * Experience with data analysis with microbiological tests and their results, to understand the determination and limitations of MIC values and their interpretations to RSI values | ||||
| * Experience with data analysis with microbiological tests and their results, to understand the determination and limitations of MIC values and their interpretations to SIR values | ||||
| * Availability of the biological taxonomy of microorganisms and probably normalisation factors for pharmaceuticals, such as defined daily doses (DDD) | ||||
| * Available (inter-)national guidelines, and profound methods to apply them | ||||
|  | ||||
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