Package: CohortSymmetry 0.2.3

Xihang Chen

CohortSymmetry: Sequence Symmetry Analysis Using the Observational Medical Outcomes Partnership Common Data Model

Calculating crude sequence ratio, adjusted sequence ratio and confidence intervals using data mapped to the Observational Medical Outcomes Partnership Common Data Model.

Authors:Xihang Chen [aut, cre], Tyman Stanford [aut], Berta Raventós [aut], Nicole Pratt [aut], Ed Burn [aut], Marti Català [aut], Danielle Newby [aut], Núria Mercadé-Besora [aut], Mike Du [aut], Yuchen Guo [aut], Kim Lopez [aut], Marta Alcalde-Herraiz [aut]

CohortSymmetry_0.2.3.tar.gz
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CohortSymmetry.pdf |CohortSymmetry.html
CohortSymmetry/json (API)

# Install 'CohortSymmetry' in R:
install.packages('CohortSymmetry', repos = c('https://ohdsi.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ohdsi/cohortsymmetry/issues

Pkgdown site:https://ohdsi.github.io

On CRAN:

Conda-Forge:

7.53 score 1 stars 73 scripts 414 downloads 8 exports 51 dependencies

Last updated 5 days agofrom:1b72a1bb2e. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 01 2025
R-4.5-winOKMar 01 2025
R-4.5-macOKMar 03 2025
R-4.5-linuxOKMar 01 2025
R-4.4-winOKMar 01 2025
R-4.4-macOKMar 03 2025
R-4.3-winOKMar 01 2025
R-4.3-macOKMar 03 2025

Exports:generateSequenceCohortSetmockCohortSymmetryplotSequenceRatiosplotTemporalSymmetrysummariseSequenceRatiossummariseTemporalSymmetrytableSequenceRatiostableTemporalSymmetry

Dependencies:backportsbitbit64blobCDMConnectorcheckmateclicliprclockCodelistGeneratorcpp11crayonDBIdbplyrdplyrDrugUtilisationfansigenericsglueherehmsjsonlitelifecyclelubridatemagrittromockomopgenericsPatientProfilespillarpkgconfigprettyunitsprogresspurrrR6readrRJSONIOrlangrprojrootsnakecasestringistringrtibbletidyrtidyselecttimechangetzdbutf8vctrsvisOmopResultsvroomwithr

Introduction to CohortSymmetry

Rendered froma01_Introduction.Rmdusingknitr::rmarkdownon Mar 01 2025.

Last update: 2024-11-29
Started: 2024-04-22

Step 1. Generate a sequence cohort

Rendered froma02_Generate_a_sequence_cohort.Rmdusingknitr::rmarkdownon Mar 01 2025.

Last update: 2025-02-28
Started: 2024-10-15

Step 2. Obtain the sequence ratios

Rendered froma03_Summarise_sequence_ratios.Rmdusingknitr::rmarkdownon Mar 01 2025.

Last update: 2025-02-28
Started: 2024-05-28

Step 3. Visualise the sequence ratios

Rendered froma04_Visualise_sequence_ratios.Rmdusingknitr::rmarkdownon Mar 01 2025.

Last update: 2025-02-28
Started: 2024-05-28

Step 4: Obtain aggregated data on temporal symmetry

Rendered froma05_Summarise_temporal_symmetry.Rmdusingknitr::rmarkdownon Mar 01 2025.

Last update: 2025-02-28
Started: 2024-05-28

Step 5: Visualise temporal symmetry

Rendered froma06_Visualise_temporal_symmetry.Rmdusingknitr::rmarkdownon Mar 01 2025.

Last update: 2025-02-28
Started: 2024-05-28