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
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-prerel: SCCS_1.7.zip, r-release: SCCS_1.7.zip, r-oldrel: SCCS_1.7.zip
macOS binaries: r-prerel (arm64): SCCS_1.7.tgz, r-release (arm64): SCCS_1.7.tgz, r-oldrel (arm64): SCCS_1.7.tgz, r-prerel (x86_64): SCCS_1.7.tgz, r-release (x86_64): SCCS_1.7.tgz
Old sources: SCCS archive

Linking:

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