SelfControlledCohort: Self-Controlled Cohort Population-Level Estimation

Estimates incidence rate ratios by comparing time exposed with time unexposed among an exposed cohort using self-controlled cohort methodology as described in Ryan et al. (2013) doi:10.1002/pds.3457 . Functions used for empirical calibration of effect estimates, confidence intervals, and p-values are included to control for residual bias.

See also

Useful links:

• https://github.com/OHDSI/SelfControlledCohort

• https://ohdsi.github.io/SelfControlledCohort/

• Report bugs at https://github.com/OHDSI/SelfControlledCohort/issues

Author

Maintainer: Jamie Gilbert gilbert@ohdsi.org (ORCID)

Authors:

• Jamie Gilbert gilbert@ohdsi.org (ORCID)

• Martijn Schuemie schuemie@ohdsi.org

• Patrick Ryan

Other contributors:

• Observational Health Data Science and Informatics [copyright holder]