tipr: tipr
In tipr: Tipping Point Analyses
tipr R Documentation
tipr
Description
The tipr package.
References
D'Agostino McGowan, L. (2018). Improving Modern Techniques of Causal
Inference: Finite Sample Performance of ATM and ATO Doubly Robust Estimators,
Variance Estimation for ATO Estimators, and Contextualized Tipping Point
Sensitivity Analyses for Unmeasured Confounding. PhD thesis, Vanderbilt
University.
VanderWeele, TJ, and Peng D (2017). Sensitivity Analysis in Observational
Research: Introducing the E-Value. Ann Intern Med, 167(4), 268–74.
Lin, DY, Psaty, BM, & Kronmal, RA. (1998). Assessing the sensitivity
of regression results to unmeasured confounders in observational studies.
Biometrics, 54(3), 948–963.
tipr documentation built on Sept. 5, 2022, 5:09 p.m.
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| tipr | R Documentation |
tipr
Description
The tipr package.
References
D'Agostino McGowan, L. (2018). Improving Modern Techniques of Causal Inference: Finite Sample Performance of ATM and ATO Doubly Robust Estimators, Variance Estimation for ATO Estimators, and Contextualized Tipping Point Sensitivity Analyses for Unmeasured Confounding. PhD thesis, Vanderbilt University.
VanderWeele, TJ, and Peng D (2017). Sensitivity Analysis in Observational Research: Introducing the E-Value. Ann Intern Med, 167(4), 268–74.
Lin, DY, Psaty, BM, & Kronmal, RA. (1998). Assessing the sensitivity of regression results to unmeasured confounders in observational studies. Biometrics, 54(3), 948–963.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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