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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 |
| Reference manual: | SCCS.pdf |
| 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 |
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