This function extracts the sccs model table.
Usage
getSccsModel(
connectionHandler,
schema,
sccsTablePrefix = "sccs_",
cgTablePrefix = "cg_",
databaseTable = "database_meta_data",
exposureOutcomeSetIds = NULL,
indicationIds = NULL,
outcomeIds = NULL,
databaseIds = NULL,
analysisIds = NULL,
targetIds = NULL
)Arguments
- connectionHandler
A connection handler that connects to the database and extracts sql queries. Create a connection handler via `ResultModelManager::ConnectionHandler$new()`.
- schema
The result database schema (e.g., 'main' for sqlite)
- sccsTablePrefix
The prefix used for the cohort generator results tables
- cgTablePrefix
The prefix used for the cohort generator results tables
- databaseTable
The name of the table with the database details (default 'database_meta_data')
- exposureOutcomeSetIds
the exposureOutcomeIds to restrict to
- indicationIds
The indications that the target was nested to
- outcomeIds
A vector of integers corresponding to the outcome cohort IDs
- databaseIds
the database IDs to restrict to
- analysisIds
the analysis IDs to restrict to
- targetIds
A vector of integers corresponding to the target cohort IDs
Details
Specify the connectionHandler, the schema and optionally the target/outcome/analysis/database IDs
See also
Other Estimation:
getCMEstimation(),
getCmDiagnosticsData(),
getCmMetaEstimation(),
getCmNegativeControlEstimates(),
getCmOutcomes(),
getCmPropensityModel(),
getCmTable(),
getCmTargets(),
getSccsDiagnosticsData(),
getSccsEstimation(),
getSccsMetaEstimation(),
getSccsNegativeControlEstimates(),
getSccsOutcomes(),
getSccsTable(),
getSccsTargets(),
getSccsTimeToEvent(),
plotCmEstimates(),
plotSccsEstimates()
Examples
conDet <- getExampleConnectionDetails()
connectionHandler <- ResultModelManager::ConnectionHandler$new(conDet)
#> Connecting using SQLite driver
sccsModels <- getSccsModel(
connectionHandler = connectionHandler,
schema = 'main'
)