plotSccsEstimates: Plots the self controlled case series results for one...

In OhdsiReportGenerator: Observational Health Data Sciences and Informatics Report Generator

Plots the self controlled case series results for one analysis

Description

Creates nice self controlled case series plots

Usage

plotSccsEstimates(sccsData, sccsMeta = NULL, targetName, selectedAnalysisId)

Arguments

sccsData	The self controlled case series data
sccsMeta	(optional) The self controlled case seriesd evidence synthesis data
targetName	A friendly name for the target cohort
selectedAnalysisId	The analysis ID of interest to plot

Details

Input the self controlled case series data

Value

Returns a ggplot with the estimates

See Also

Other Estimation: getCMEstimation(), getCmDiagnosticsData(), getCmMetaEstimation(), getSccsDiagnosticsData(), getSccsEstimation(), getSccsMetaEstimation(), plotCmEstimates()

Examples

conDet <- getExampleConnectionDetails()

connectionHandler <- ResultModelManager::ConnectionHandler$new(conDet)

sccsEst <- getSccsEstimation(
  connectionHandler = connectionHandler, 
  schema = 'main',
  targetIds = 1,
  outcomeIds = 3
)
plotSccsEstimates(
  sccsData = sccsEst, 
  sccsMeta = NULL, 
  targetName = 'target', 
  selectedAnalysisId = 1
)

OhdsiReportGenerator documentation built on April 12, 2025, 2:09 a.m.