SkillAgentSearch skills...

CaseCrossover

An R package for performing case-crossover and case-time-control analyses in an observational database in the OMOP Common Data Model.

Install / Use

/learn @OHDSI/CaseCrossover
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

CaseCrossover

Build Status codecov.io

This package is no longer being supported It is provided as is.

Introduction

CaseCrossover is an R package for performing case-crossover and case-time-control analyses in an observational database in the OMOP Common Data Model.

Features

  • Extracts the necessary data from a database in OMOP Common Data Model format
  • Nesting in a cohort of interest (e.g. people with a particular prior condition)
  • Ability to specify multiple control windows
  • Ability to adjust for time-trends in exposure (case-time-control design)
  • Fitting outcome models using conditional logistic regression

Technology

CaseCrossover is an R package.

System Requirements

Requires R. Installation on Windows requires RTools. Libraries used in CaseCrossover require Java.

Installation

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

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

install.packages("drat")
drat::addRepo("OHDSI")
install.packages("CaseCrossover")

User Documentation

Documentation can be found on the package website.

PDF versions of the documentation are also available:

Support

  • Developer questions/comments/feedback: <a href="http://forums.ohdsi.org/c/developers">OHDSI Forum</a>
  • We use the <a href="https://github.com/OHDSI/CaseCrossover/issues">GitHub issue tracker</a> for all bugs/issues/enhancements

Contributing

Read here how you can contribute to this package.

License

CaseCrossover is licensed under Apache License 2.0

Development

CaseCrossover is being developed in R Studio.

Development status

This package is no longer being supported. It is provided as is.

View on GitHub
GitHub Stars6
CategoryData
Updated1y ago
Forks1

Languages

R

Security Score

55/100

Audited on Mar 30, 2025

No findings