This function extracts the specific cohort method table.
Usage
getSccsTable(
connectionHandler,
schema,
table = c("attrition", "time_trend", "event_dep_observation", "age_spanning",
"calendar_time_spanning", "spline")[1],
sccsTablePrefix = "sccs_",
cgTablePrefix = "cg_",
databaseTable = "database_meta_data",
indicationIds = NULL,
outcomeIds = NULL,
analysisIds = NULL,
databaseIds = NULL,
exposureOutcomeIds = NULL,
covariateIds = NULL
)Arguments
- connectionHandler
A connection handler that connects to the database and extracts sql queries. Create a connection handler via `ResultModelManager::ConnectionHandler$new()`.
- schema
The result database schema (e.g., 'main' for sqlite)
- table
The result table to extract
- sccsTablePrefix
The prefix used for the cohort generator results tables
- cgTablePrefix
The prefix used for the cohort generator results tables
- databaseTable
The name of the table with the database details (default 'database_meta_data')
- indicationIds
The indications that the target was nested to
- outcomeIds
A vector of integers corresponding to the outcome cohort IDs
- analysisIds
the analysis IDs to restrict to
- databaseIds
the database IDs to restrict to
- exposureOutcomeIds
the exposureOutcomeIds to restrict to
- covariateIds
the covariateIds to restrict to
Details
Specify the connectionHandler, the schema and optionally the target/outcome/analysis/database IDs
See also
Other Estimation:
getCMEstimation(),
getCmDiagnosticsData(),
getCmMetaEstimation(),
getCmNegativeControlEstimates(),
getCmOutcomes(),
getCmPropensityModel(),
getCmTable(),
getCmTargets(),
getSccsDiagnosticsData(),
getSccsEstimation(),
getSccsMetaEstimation(),
getSccsModel(),
getSccsNegativeControlEstimates(),
getSccsOutcomes(),
getSccsTargets(),
getSccsTimeToEvent(),
plotCmEstimates(),
plotSccsEstimates()
Examples
conDet <- getExampleConnectionDetails()
connectionHandler <- ResultModelManager::ConnectionHandler$new(conDet)
#> Connecting using SQLite driver
sccsTable <- getSccsTable(
connectionHandler = connectionHandler,
schema = 'main',
table = 'attrition'
)