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cff-version: 1.2.0
message: 'To cite package "rwevalidate" in publications use:'
type: software
license: MIT
title: 'rwevalidate: Validate Patient Cohorts for Real-World Evidence Studies on the
  OMOP Common Data Model'
version: 0.1.2
doi: 10.32614/CRAN.package.rwevalidate
abstract: Validates instantiated patient cohorts on an Observational Medical Outcomes
  Partnership (OMOP) Common Data Model (CDM) database for real-world-evidence (RWE)
  studies. From a single function call it produces a structured validation report
  in Hypertext Markup Language (HTML) and JavaScript Object Notation (JSON) covering
  concept coverage, cohort attrition, temporal data density, and covariate feasibility
  against a comparator. The checks are aligned with the United States Food and Drug
  Administration (FDA) guidance on real-world data and evidence, FDA (2023) <https://www.fda.gov/media/171667/download>,
  the Harmonized Protocol Template to Enhance Reproducibility (HARPER), Wang and others
  (2022) <https://doi.org/10.1002/pds.5507>, and the Reporting of Studies Conducted
  Using Observational Routinely-Collected Data for Pharmacoepidemiology (RECORD-PE)
  statement, Langan and others (2018) <https://doi.org/10.1136/bmj.k3532>. A self-contained
  example database is bundled so the checks can be run without a live database connection.
authors:
- family-names: Tavakoli
  given-names: Hamid
  email: htavakoli@gmail.com
repository: https://tavakohr.r-universe.dev
repository-code: https://github.com/tavakohr/rwevalidate
commit: 80010f8512b6136b639b18d89f61bda74f77a8bc
url: https://github.com/tavakohr/rwevalidate
date-released: '2026-07-11'
contact:
- family-names: Tavakoli
  given-names: Hamid
  email: htavakoli@gmail.com