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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 <https://sccs-studies.info/index.html>.

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 open.ac.uk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: SCCS results

Documentation:

Reference manual: SCCS.pdf

Downloads:

Package source: SCCS_1.7.tar.gz
Windows binaries: r-devel: SCCS_1.7.zip, r-release: SCCS_1.7.zip, r-oldrel: SCCS_1.7.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SCCS to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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