Handy and Minimalistic Common Data Model Characterization

Extracts covariates from Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) domains using an R-only pipeline. Supports configurable temporal windows, domain-specific covariates for drug exposure, drug era (including Anatomical Therapeutic Chemical (ATC) groupings), condition occurrence, condition era, concept sets and cohorts. Methods are based on the Observational Health Data Sciences and Informatics (OHDSI) framework described in Hripcsak et al. (2015) and "The Book of OHDSI" OHDSI (2019, ISBN:978-1-7923-0589-8).


Reference manual

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install.packages("OdysseusCharacterizationModule")

0.0.1 by Alexander Alexeyuk, 5 months ago


Browse source code at https://github.com/cran/OdysseusCharacterizationModule


Authors: Alexander Alexeyuk [aut, cre]


Documentation:   PDF Manual  


Apache License (>= 2) license


Imports checkmate, DatabaseConnector, jsonlite, SqlRender, stats

Suggests Andromeda, Eunomia, FeatureExtraction, knitr, rmarkdown, testthat, withr


See at CRAN