SelfControlledCohort is part of HADES.
This package provides a method to estimate risk by comparing time exposed with time unexposed among the exposed cohort.
library(SelfControlledCohort) connectionDetails <- createConnectionDetails(dbms = "postgresql", user = "joe", password = "secret", server = "myserver") sccResults <- runSelfControlledCohort(connectionDetails, cdmDatabaseSchema = "cdm_data", exposureIds = c(767410, 1314924, 907879), outcomeIds = 444382, outcomeTable = "condition_era") summary(sccResults)
See the instructions here for configuring your R environment, including Java.
In R, use the following commands to download and install SelfControlledCohort:
Documentation can be found on the package website.
PDF versions of the documentation are also available: * Package manual: SelfControlledCohort.pdf
Read here how you can contribute to this package.