ettbc: Emulating a Target Trial for Breast Cancer Screening

Description

Implements the clone-censor step of the target trial emulation methodology for studying the effect of sustained screening mammography on breast cancer mortality, following the approach of García-Albéniz et al. (2020) doi:10.7326/M18-1199. Provides functions to clone participants into two trial arms (STOPBASE and CONTINUE), apply per-arm censoring rules, expand the resulting dataset to a long format suitable for inverse-probability-weighted survival analysis, compute IPW weights, estimate marginal survival curves via g-computation, and extract mammogram events from Medicare claims data.

Author(s)

Maintainer: Douglas Ezra Morrison demorrison@ucdavis.edu (ORCID)

Authors:

• Douglas Ezra Morrison demorrison@ucdavis.edu (ORCID)

See Also

Useful links:

• https://github.com/ucdavis/ettbc

• https://ucdavis.github.io/ettbc/

• Report bugs at https://github.com/ucdavis/ettbc/issues