View source: R/NegativeControlCohorts.R
generateNegativeControlOutcomeCohorts | R Documentation |
This function generate a set of negative control outcome cohorts. For more information please see [Chapter 12 - Population Level Estimation](https://ohdsi.github.io/TheBookOfOhdsi/PopulationLevelEstimation.html) for more information how these cohorts are utilized in a study design.
generateNegativeControlOutcomeCohorts(
connectionDetails = NULL,
connection = NULL,
cdmDatabaseSchema,
tempEmulationSchema = getOption("sqlRenderTempEmulationSchema"),
cohortDatabaseSchema = cdmDatabaseSchema,
cohortTable = getCohortTableNames()$cohortTable,
negativeControlOutcomeCohortSet,
occurrenceType = "all",
incremental = FALSE,
incrementalFolder = NULL,
detectOnDescendants = FALSE
)
connectionDetails |
An object of type |
connection |
An object of type |
cdmDatabaseSchema |
Schema name where your patient-level data in OMOP CDM format resides. Note that for SQL Server, this should include both the database and schema name, for example 'cdm_data.dbo'. |
tempEmulationSchema |
Some database platforms like Oracle and Impala do not truly support temp tables. To emulate temp tables, provide a schema with write privileges where temp tables can be created. |
cohortDatabaseSchema |
Schema name where your cohort tables reside. Note that for SQL Server, this should include both the database and schema name, for example 'scratch.dbo'. |
cohortTable |
Name of the cohort table. |
negativeControlOutcomeCohortSet |
The
|
occurrenceType |
The occurrenceType will detect either: the first time an outcomeConceptId occurs or all times the outcomeConceptId occurs for a person. Values accepted: 'all' or 'first'. |
incremental |
Create only cohorts that haven't been created before? |
incrementalFolder |
If |
detectOnDescendants |
When set to TRUE, detectOnDescendants will use the vocabulary to find negative control outcomes using the outcomeConceptId and all descendants via the concept_ancestor table. When FALSE, only the exact outcomeConceptId will be used to detect the outcome. |
Invisibly returns an empty negative control outcome cohort set data.frame
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