SCCS-package: The Self-Controlled Case Series (SCCS) Method
In SCCS: The Self-Controlled Case Series Method
SCCS-package R Documentation
The Self-Controlled Case Series (SCCS) Method
Description
Fits the self-controlled case series model used to investigate the association between a time-varying exposures such as vaccines or other drugs and an adverse event. Some extensions of the SCCS method can be fitted with this package.
Note: Ages and times describing the start and end of observation, exposure times, and event times, should be expressed as integers. In most of the datasets, units of time are days; other choices may be appropriate according to context, but must be given as integers. Ages appearing as covariates need not be integers.
Details
Package: SCCS
Type: Package
Version: 1.7
Date: 2024-04-01
License: "GPL-2"
Author(s)
Yonas Ghebremichael-Weldeselassie, Heather Whitaker, Paddy Farrington
Maintainer: Yonas Ghebremichael-Weldeselassie <y.weldeselassie@warwick.ac.uk>
References
https://sccs-studies.info/index.html
Farrington, P., Whitaker, H., and Ghebremichael-Weldeselassie, Y. (2018). Self-controlled Case Series Studies: A modelling Guide with R. Boca Raton: Chapman & Hall/CRC Press.
SCCS documentation built on May 29, 2024, 11:55 a.m.
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| SCCS-package | R Documentation |
The Self-Controlled Case Series (SCCS) Method
Description
Fits the self-controlled case series model used to investigate the association between a time-varying exposures such as vaccines or other drugs and an adverse event. Some extensions of the SCCS method can be fitted with this package.
Note: Ages and times describing the start and end of observation, exposure times, and event times, should be expressed as integers. In most of the datasets, units of time are days; other choices may be appropriate according to context, but must be given as integers. Ages appearing as covariates need not be integers.
Details
| Package: | SCCS |
| Type: | Package |
| Version: | 1.7 |
| Date: | 2024-04-01 |
| License: | "GPL-2" |
Author(s)
Yonas Ghebremichael-Weldeselassie, Heather Whitaker, Paddy Farrington
Maintainer: Yonas Ghebremichael-Weldeselassie <y.weldeselassie@warwick.ac.uk>
References
https://sccs-studies.info/index.html
Farrington, P., Whitaker, H., and Ghebremichael-Weldeselassie, Y. (2018). Self-controlled Case Series Studies: A modelling Guide with R. Boca Raton: Chapman & Hall/CRC Press.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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