synthesizePositiveControls: Inject outcomes on top of negative controls

In OHDSI/Legend: Large-Scale Evidence Generation and Evaluation in a Network of Databases

Description

Inject outcomes on top of negative controls

Usage

synthesizePositiveControls(connectionDetails, cdmDatabaseSchema,
  cohortDatabaseSchema, tablePrefix = "legend",
  indicationId = "Depression", oracleTempSchema, outputFolder,
  sampleSize = 1e+05, maxCores = 4)

Arguments

connectionDetails	An object of type connectionDetails as created using the createConnectionDetails function in the DatabaseConnector package.
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	The maximum sample size to be used to fit the outcome models.
maxCores	How many parallel cores should be used? If more cores are made available this can speed up the analyses.

Details

This function injects outcomes on top of negative controls to create controls with predefined relative risks greater than one.

OHDSI/Legend documentation built on Dec. 29, 2020, 3:52 a.m.