tipr-package: tipr

In tipr: Tipping Point Analyses

tipr

Description

The tipr package.

Author(s)

Maintainer: Lucy D'Agostino McGowan [e-mail] (ORCID)

Other contributors:

• Malcolm Barrett [e-mail] (ORCID) [contributor]

References

D'Agostino McGowan, L, (2022). tipr: An R package for sensitivity analyses for unmeasured confounders. Journal of Open Source Software, 7(77), 4495.

D’Agostino McGowan, L. (2022). Sensitivity Analyses for Unmeasured Confounders. Current Epidemiology Reports, 9(4), 361-375.

VanderWeele, TJ, and Peng D (2017). Sensitivity Analysis in Observational Research: Introducing the E-Value. Ann Intern Med, 167(4), 268–74.

Cinelli, C, & Hazlett, C (2020). Making sense of sensitivity: Extending omitted variable bias. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 82(1), 39–67.

Lin, DY, Psaty, BM, & Kronmal, RA. (1998). Assessing the sensitivity of regression results to unmeasured confounders in observational studies. Biometrics, 54(3), 948–963.

See Also

Useful links:

• https://r-causal.github.io/tipr/

• https://github.com/r-causal/tipr

• Report bugs at https://github.com/r-causal/tipr/issues

tipr documentation built on May 29, 2024, 9:59 a.m.