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77 lines
1.7 KiB
Plaintext
77 lines
1.7 KiB
Plaintext
fig:fig1-1
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fig:fig1-2
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fig:fig1-3
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fig:fig1-4
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fig:fig1-5
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fig:fig2-1
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fig:fig2-2
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fig:fig2-3
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fig:fig2-4
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fig:fig2-5
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fig:fig3-1
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fig:fig3-2
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fig:fig4-1
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ch01-introduction
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microbial-epidemiology
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antimicrobial-resistance-in-microorganisms
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laboratory-diagnostics
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interpretation-of-raw-results
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multi-drug-resistant-organisms
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surveillance-programs
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data-analysis-using-r
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setting-for-this-thesis
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aim-of-this-thesis-and-introduction-to-its-chapters
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ch02-diagnostic-stewardship
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introduction
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case-1
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case-2
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the-general-concept
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diagnostics
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dsp-in-the-microbiological-laboratory
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dsp-as-process-optimisation
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multidisciplinary-aspects-of-dsp-and-infection-management
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conclusion
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ch03-introducing-new-method
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background
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standardising-amr-data-analysis
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comparison-with-existing-software-methods
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user-feedback
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conclusion-1
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ch04-amr-r-package
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introduction-1
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antimicrobial-resistance-data
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antimicrobial-resistance-data-transformation
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working-with-taxonomically-valid-microorganism-names
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properties-of-microorganisms
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working-with-antimicrobial-names-or-codes
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properties-of-antimicrobial-agents
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filtering-data-based-on-classes-of-antimicrobial-agents
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working-with-antimicrobial-susceptibility-test-results
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interpretative-rules-by-eucast
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working-with-defined-daily-doses-ddd
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enhancing-antimicrobial-resistance-data
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determining-first-isolates
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determining-multi-drug-resistant-organisms-mdro
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multi-drug-resistant-tuberculosis
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analysing-antimicrobial-resistance-data
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calculation-of-antimicrobial-resistance
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counts
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proportions
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design-decisions
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reproducible-example
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discussion
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ch05-radar
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introduction-2
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background-1
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objectives
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methods
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results
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overview
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application-design
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development-process
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workflow
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customisation
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discussion-1
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principal-findings
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conclusions
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