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: 2.6.7
Depends: R (≥ 4.2)
Imports: checkmate, dplyr, stringr, utils, stats, Andromeda, tidyr, R6, sunburstR, networkD3, htmlwidgets, shiny, shinydashboard
Suggests: knitr, rmarkdown, tibble, testthat (≥ 3.0.0), usethis, Eunomia, CDMConnector, DatabaseConnector (≥ 6.0.0), SqlRender, CohortGenerator, webshot2, CirceR, duckdb, DBI, withr, plotly, ggplot2, Capr
Published: 2024-05-24
DOI: 10.32614/CRAN.package.TreatmentPatterns
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
Language: en-US
Citation: TreatmentPatterns citation info
Materials: README NEWS
CRAN checks: TreatmentPatterns results


Reference manual: TreatmentPatterns.pdf
Vignettes: DefiningCohorts


Package source: TreatmentPatterns_2.6.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): TreatmentPatterns_2.6.7.tgz, r-oldrel (arm64): TreatmentPatterns_2.6.7.tgz, r-release (x86_64): TreatmentPatterns_2.6.7.tgz, r-oldrel (x86_64): TreatmentPatterns_2.6.7.tgz
Old sources: TreatmentPatterns archive


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