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(v3.0.1.9005) re-add tidymodels implementation
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@@ -163,7 +163,7 @@
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#' antimicrobials = c("TZP", "TZP+TOB", "TZP+GEN"))
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#' ```
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#'
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#' WISCA uses a sophisticated Bayesian decision model to combine both local and pooled antimicrobial resistance data. This approach not only evaluates local patterns but can also draw on multi-centre datasets to improve regimen accuracy, even in low-incidence infections like paediatric bloodstream infections (BSIs).
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#' WISCA uses a sophisticated Bayesian decision model to combine both local and pooled antimicrobial resistance data. This approach not only evaluates local patterns but can also draw on multi-centre data sets to improve regimen accuracy, even in low-incidence infections like paediatric bloodstream infections (BSIs).
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#'
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#' ### Grouped tibbles
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#'
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