TreatmentPatterns: Analyzes Real-World Treatment Patterns of a Study Population of Interest

Computes treatment patterns within a given cohort using the Observational Medical Outcomes Partnership (OMOP) common data model (CDM). As described in Markus, Verhamme, Kors, and Rijnbeek (2022) <doi:10.1016/j.cmpb.2022.107081>.

Version: 2.5.2
Depends: R (≥ 4.0)
Imports: DatabaseConnector (≥ 6.0.0), checkmate, dplyr, SqlRender, stringr, stringi, fs, glue, utils, rjson, googleVis, stats, Andromeda, tidyr, data.table, R6
Suggests: knitr, rmarkdown, tibble, testthat (≥ 3.0.0), usethis, Eunomia, CDMConnector, CohortGenerator, webshot2, CirceR, duckdb, DBI, withr
Published: 2023-09-15
Author: Aniek Markus ORCID iD [aut], Maarten van Kessel ORCID iD [cre]
Maintainer: Maarten van Kessel <m.l.vankessel at>
License: Apache License 2.0
NeedsCompilation: no
Citation: TreatmentPatterns citation info
Materials: README NEWS
CRAN checks: TreatmentPatterns results


Reference manual: TreatmentPatterns.pdf
Vignettes: CreatingCohorts


Package source: TreatmentPatterns_2.5.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): TreatmentPatterns_2.5.2.tgz, r-oldrel (arm64): TreatmentPatterns_2.5.2.tgz, r-release (x86_64): TreatmentPatterns_2.5.2.tgz, r-oldrel (x86_64): TreatmentPatterns_2.5.2.tgz
Old sources: TreatmentPatterns archive


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