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SCCS  

The Self-Controlled Case Series Method
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SCCS", "1.7")



Attach the package and use:
library("SCCS")
Maintained by
"Yonas Ghebremichael Weldeselassie"
[Scholar Profile | Author Map]
First Published: 2018-05-11
Latest Update: 2022-07-05
Description:
Various self-controlled case series models used to investigate associations between time-varying exposures such as vaccines or other drugs or non drug exposures and an adverse event can be fitted. Detailed information on the self-controlled case series method and its extensions with more examples can be found in Farrington, P., Whitaker, H., and Ghebremichael Weldeselassie, Y. (2018, ISBN: 978-1-4987-8159-6. Self-controlled Case Series studies: A modelling Guide with R. Boca Raton: Chapman & Hall/CRC Press) and .
How to cite:
"Yonas Ghebremichael Weldeselassie" (2018). SCCS: The Self-Controlled Case Series Method. R package version 1.7, https://cran.r-project.org/web/packages/SCCS. Accessed 31 Mar. 2025.
Previous versions and publish date:
1.0 (2018-05-11 10:28), 1.1 (2019-06-04 18:50), 1.2 (2020-10-01 09:40), 1.3 (2021-06-23 09:00), 1.4 (2021-09-06 16:40), 1.5 (2021-12-12 00:00), 1.6 (2022-07-05 16:20)
Other packages that cited SCCS R package
View SCCS citation profile
Other R packages that SCCS depends, imports, suggests or enhances
Complete documentation for SCCS
Downloads during the last 30 days
03/0103/0203/0303/0403/0503/0603/0703/0803/0903/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/29Downloads for SCCS0510152025303540TrendBars

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