Description Usage Arguments Details
Assess propensity models
1 2 3 4 | assessPhenotypes(connectionDetails, cdmDatabaseSchema,
cohortDatabaseSchema, tablePrefix = "legend",
indicationId = "Depression", oracleTempSchema, outputFolder,
sampleSize = 1e+05, minCellCount = 5, databaseId)
|
connectionDetails |
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'. |
cohortDatabaseSchema |
Schema name where intermediate data can be stored. You will need to have write priviliges in this schema. Note that for SQL Server, this should include both the database and schema name, for example 'cdm_data.dbo'. |
tablePrefix |
A prefix to be used for all table names created for this study. |
indicationId |
A string denoting the indicationId for which the exposure cohorts should be created. |
oracleTempSchema |
Should be used in Oracle to specify a schema where the user has write priviliges for storing temporary tables. |
outputFolder |
Name of local folder to place results; make sure to use forward slashes (/) |
sampleSize |
What is the maximum sample size across exposure cohorts? |
minCellCount |
The minimum cell count for fields contains person counts or fractions. |
databaseId |
A short string for identifying the database (e.g. 'Synpuf'). |
This function will sample the exposure cohorts, and fit propensity models to identify issues. Assumes the exposure and outcome cohorts have already been created.
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