CohortSurvival: Estimate Survival from Common Data Model Cohorts

Estimate survival using data mapped to the Observational Medical Outcomes Partnership common data model. Survival can be estimated based on user-defined study cohorts.

Version: 0.4.0
Imports: CDMConnector (≥ 1.3.0), omopgenerics, checkmate, cli, DBI, dplyr, dbplyr, magrittr, lubridate, broom, PatientProfiles, visOmopResults, rlang (≥ 0.4.11), survival, scales, stringr, tibble, tidyr
Suggests: testthat (≥ 3.0.0), CodelistGenerator, roxygen2, knitr, tictoc, rmarkdown, ggplot2, duckdb
Published: 2024-04-02
Author: Edward Burn ORCID iD [aut, cre], Kim Lopez ORCID iD [aut], Marti Catala ORCID iD [ctb], Xintong Li ORCID iD [ctb], Danielle Newby ORCID iD [ctb]
Maintainer: Edward Burn <edward.burn at ndorms.ox.ac.uk>
License: Apache License (≥ 2)
URL: https://darwin-eu-dev.github.io/CohortSurvival/
NeedsCompilation: no
Materials: README
CRAN checks: CohortSurvival results

Documentation:

Reference manual: CohortSurvival.pdf
Vignettes: a01_Single_event_of_interest
a02_Competing_risk_survival

Downloads:

Package source: CohortSurvival_0.4.0.tar.gz
Windows binaries: r-prerel: CohortSurvival_0.4.0.zip, r-release: CohortSurvival_0.4.0.zip, r-oldrel: CohortSurvival_0.4.0.zip
macOS binaries: r-prerel (arm64): CohortSurvival_0.4.0.tgz, r-release (arm64): CohortSurvival_0.4.0.tgz, r-oldrel (arm64): CohortSurvival_0.4.0.tgz, r-prerel (x86_64): CohortSurvival_0.4.0.tgz, r-release (x86_64): CohortSurvival_0.4.0.tgz
Old sources: CohortSurvival archive

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