Description
Self-Controlled Cohort Population-Level Estimation.
Description
Estimates incidence rate ratios by comparing time exposed with time unexposed among an exposed cohort using self-controlled cohort methodology as described in Ryan et al. (2013) <doi:10.1002/pds.3457>. Functions used for empirical calibration of effect estimates, confidence intervals, and p-values are included to control for residual bias.
README.md
SelfControlledCohort
SelfControlledCohort is part of HADES.
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.
- Comprehensive diagnostics
- MDRR (statistical power analysis)
- Pre-exposure gain detection
- Event-dependent observation checks
- Time trend analysis
- Sparse data detection
Example
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)
Technology
SelfControlledCohort is an R package.
System Requirements
Requires R. Libraries used in SelfControlledCohort require Java.
Getting Started
See the instructions here for configuring your R environment, including Java.
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
Support
- Developer questions/comments/feedback: OHDSI Forum
- We use the GitHub issue tracker for all bugs/issues/enhancements
Contributing
Read here how you can contribute to this package.
License
SelfControlledCohort is licensed under Apache License 2.0
Development
SelfControlledCohort is being developed in R Studio.
Development status
Beta.