Package index
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getCohortDefinitions()
- Extract the cohort definition details
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getCohortSubsetDefinitions()
- Extract the cohort subset definition details
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processCohorts()
- Extract the cohort parents and children cohorts (cohorts derieved from the parent cohort)
Characterization Extractions and Plots
These functions can be used to extract results from characterization and cohort incidence analyses and plot results.
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getBinaryCaseSeries()
- A function to extract case series characterization results
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getBinaryRiskFactors()
- A function to extract non-case and case binary characterization results
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getCaseBinaryFeatures()
- Extract aggregate statistics of binary feature analysis IDs of interest for cases
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getCaseContinuousFeatures()
- Extract aggregate statistics of continuous feature analysis IDs of interest for targets
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getCaseCounts()
- Extract the outcome cohort counts result
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getCharacterizationDemographics()
- Extract the binary age groups for the cases and targets
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getContinuousCaseSeries()
- A function to extract case series continuous feature characterization results
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getContinuousRiskFactors()
- A function to extract non-case and case continuous characterization results
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getDechallengeRechallenge()
- Extract the dechallenge rechallenge results
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getIncidenceRates()
- Extract the cohort incidence result
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getTargetBinaryFeatures()
- Extract aggregate statistics of binary feature analysis IDs of interest for targets
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getTargetContinuousFeatures()
- Extract aggregate statistics of continuous feature analysis IDs of interest for targets
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getTargetCounts()
- Extract the target cohort counts result
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getTimeToEvent()
- Extract the time to event result
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plotAgeDistributions()
- Plots the age distributions using the binary age groups
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plotSexDistributions()
- Plots the sex distributions using the sex features
Estimation Extractions and Plots
These functions can be used to extract results from estimation studies and plot results.
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getCMEstimation()
- Extract the cohort method results
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getCmDiagnosticsData()
- Extract the cohort method diagostic results
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getCmMetaEstimation()
- Extract the cohort method meta analysis results
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getSccsDiagnosticsData()
- Extract the self controlled case series (sccs) diagostic results
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getSccsEstimation()
- Extract the self controlled case series (sccs) results
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getSccsMetaEstimation()
- Extract the self controlled case series (sccs) meta analysis results
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plotCmEstimates()
- Plots the cohort method results for one analysis
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plotSccsEstimates()
- Plots the self controlled case series results for one analysis
Prediction Extractions and Plots
These functions can be used to extract results from prediction studies and plot results.
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getPredictionCohorts()
- Extract a complete set of cohorts used in the prediction results
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getPredictionDiagnosticTable()
- Extract specific diagnostic table
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getPredictionDiagnostics()
- Extract the model design diagnostics for a specific development database
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getPredictionHyperParamSearch()
- Extract hyper parameters details
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getPredictionIntercept()
- Extract model interception (for logistic regression)
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getPredictionModelDesigns()
- Extract the model designs and aggregate performances for the prediction results
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getPredictionPerformanceTable()
- Extract specific results table
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getPredictionPerformances()
- Extract the model performances
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getPredictionTopPredictors()
- Extract the top N predictors per model
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generatePresentationMultiple()
- generatePresentationMultiple
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getExampleConnectionDetails()
- create a connection detail for an example OHDSI results database
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kableDark()
- output a nicely formatted html table
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printReactable()
- prints a reactable in a quarto document
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removeSpaces()
- removeSpaces
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OhdsiReportGenerator-package
OhdsiReportGenerator
- OhdsiReportGenerator