SCCS: The Self-Controlled Case Series Method

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 <>.

Version: 1.7
Depends: R (≥ 2.14.0)
Imports: survival, splines, corpcor, fda, R.methodsS3, gnm
Published: 2024-04-01
DOI: 10.32614/CRAN.package.SCCS
Author: Yonas Ghebremichael Weldeselassie, Heather Whitaker, Paddy Farrington
Maintainer: "Yonas Ghebremichael Weldeselassie" <yonas.weldeselassie at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: SCCS results


Reference manual: SCCS.pdf


Package source: SCCS_1.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SCCS_1.7.tgz, r-oldrel (arm64): SCCS_1.7.tgz, r-release (x86_64): SCCS_1.7.tgz, r-oldrel (x86_64): SCCS_1.7.tgz
Old sources: SCCS archive


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