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SelfControlledCaseSeries  

Self-Controlled Case Series
View on CRAN: Click here


Download and install SelfControlledCaseSeries package within the R console
Install from CRAN:
install.packages("SelfControlledCaseSeries")

Install from Github:
library("remotes")
install_github("cran/SelfControlledCaseSeries")

Install by package version:
library("remotes")
install_version("SelfControlledCaseSeries", "6.1.1")



Attach the package and use:
library("SelfControlledCaseSeries")
Maintained by
Martijn Schuemie
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-07-08
Latest Update: 2025-07-15
Description:
Execute the self-controlled case series (SCCS) design using observational data in the OMOP Common Data Model. Extracts all necessary data from the database and transforms it to the format required for SCCS. Age and season can be modeled using splines assuming constant hazard within calendar months. Event-dependent censoring of the observation period can be corrected for. Many exposures can be included at once (MSCCS), with regularization on all coefficients except for the exposure of interest. Includes diagnostics for all major assumptions of the SCCS.
How to cite:
Martijn Schuemie (2025). SelfControlledCaseSeries: Self-Controlled Case Series. R package version 6.1.1, https://cran.r-project.org/web/packages/SelfControlledCaseSeries. Accessed 25 Jun. 2026.
Previous versions and publish date:
6.0.0 (2025-06-23 12:20), 6.0.1 (2025-07-15 10:10), 6.1.0 (2025-09-03 09:00), 6.1.1 (2025-10-28 07:20), 6.1.4 (2026-03-26 16:30)
Other packages that cited SelfControlledCaseSeries R package
View SelfControlledCaseSeries citation profile
Other R packages that SelfControlledCaseSeries depends, imports, suggests or enhances
Complete documentation for SelfControlledCaseSeries
Functions, R codes and Examples using the SelfControlledCaseSeries R package
Full SelfControlledCaseSeries package functions and examples
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