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SelfControlledCaseSeries: Self-Controlled Case Series
Execute the self-controlled case series (SCCS) design using observational data in the OMOP Common Data Model. Extracts all necessary data from the database and transforms it to the format required for SCCS. Age and season can be modeled using splines assuming constant hazard within calendar months. Event-dependent censoring of the observation period can be corrected for. Many exposures can be included at once (MSCCS), with regularization on all coefficients except for the exposure of interest. Includes diagnostics for all major assumptions of the SCCS.
Getting started
Package overview
README.md
Multiple analyses using SelfControlledCaseSeries
Results schema
Single studies using SelfControlledCaseSeries
Results schema of the SelfControlledCaseSeries package
Running multiple analyses at once using the SelfControlledCaseSeries package
Single studies using the SelfControlledCaseSeries package
Browse package contents
Package details |
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| Author | Martijn Schuemie [aut, cre], Patrick Ryan [aut], Trevor Shaddox [aut], Marc Suchard [aut] |
| Maintainer | Martijn Schuemie <schuemie@ohdsi.org> |
| License | Apache License 2.0 |
| Version | 6.0.1 |
| URL | https://ohdsi.github.io/SelfControlledCaseSeries/ https://github.com/OHDSI/SelfControlledCaseSeries |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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