# Introduction

This package provides a method to estimate risk by comparing time exposed with time unexposed among the exposed cohort.

# Features

• Extracts the necessary data from a database in OMOP Common Data Model format.
• Supports stratification by age, gender, and index year.

# Example

library(SelfControlledCohort)

connectionDetails <- createConnectionDetails(dbms = "postgresql",
user = "joe",
server = "myserver")

sccResults <- runSelfControlledCohort(connectionDetails,
cdmDatabaseSchema = "cdm_data",
exposureIds = c(767410, 1314924, 907879),
outcomeIds = 444382,
outcomeTable = "condition_era")

summary(sccResults)

# Technology

SelfControlledCohort is an R package.

# System Requirements

Requires R. Libraries used in SelfControlledCohort require Java.

# Getting Started

1. See the instructions here for configuring your R environment, including Java.

2. In R, use the following commands to download and install SelfControlledCohort:

install.packages("remotes")
remotes::install_github("ohdsi/SelfControlledCohort")

# User Documentation

Documentation can be found on the package website.

PDF versions of the documentation are also available: * Package manual: SelfControlledCohort.pdf

# Contributing

Read here how you can contribute to this package.