WeightCalibSurvival-package {WeightCalibSurvival} | R Documentation |
To improve efficiency for estimating pure risks from additive hazards and Cox proportional hazards models with nested case-control designs.
Methods in this package are applicable to studies with some covariates that are only available for case-control samples nested in a cohort. More efficient estimates of pure risks are obtained by calibrating the design weights to data available in the entire cohort. Variance estimates for the weight-calibrated estimates are based on explicit formulas developed in the references below.
Yei Eun Shin syeeun@gmail.com, Ruth M. Pfeiffer, Barry I. Graubard, and Mitchell H. Gail
Shin YE, Pfeiffer RM Graubard BI, Gail MH. Weight calibration to improve efficiency for estimating pure risks from the additive hazards model with the nested case-control design. Biometrics. 2020;1-13. https://doi.org/10.1111/biom.13413
Shin YE, Pfeiffer RM, Graubard BI, Gail MH. Weight calibration to improve the efficiency of pure risk estimates from case-control samples nested in a cohort. Biometrics. 2019;1-11. https://doi.org/10.1111/biom.13209