Observational Research Methods in R
Working with the OHDSI/HADES Ecosystem
Course Overview
This course covers observational research methods using R with the OHDSI/HADES ecosystem.
Sessions
Session 1: The R Workflow
Environment, dependencies, and data foundations.
Session 2: Data Workflow
Tools, types, and data management with DatabaseConnector.
Session 3: Git, Databases, and OHDSI’s SQL Strategy
Version control, remote databases, and how OHDSI handles SQL across platforms.
Session 4: The OMOP CDM and Cohort Definitions
Building cohort logic, inspecting JSON/SQL definitions, and diagnostics intuition.
Session 5: Introduction to Strategus
Designing and executing study pipelines with analysis specifications and execution settings.
Session 6: Strategus Recap + GiBleed Demo
Brief recap of Strategus foundations, then a concrete demo using Eunomia GiBleed.
Session 7: Population-Level Estimation with CohortMethod
Propensity scores, the CohortMethodModule, and diagnostics for comparative cohort studies.
Session 8: Reproducibility, Reporting, and Diagnostics
renv demo projects, Strategus results review, SCCS positioning, and prespecified failure rules.