WeightCalibSurvival R Package

Description

To improve efficiency for estimating pure risks from additive hazards and Cox proportional hazards models with nested case-control designs.

Details

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.

• WeightCalibSurvival-manual.pdf

Download Software

• WeightCalibSurvival_1.0.0.zip
• WeightCalibSurvival_1.0.0.tar.gz

Authors

Yei-Eun Shin, Ruth M. Pfeiffer, Barry I. Graubard, and Mitchell H. Gail

References

• 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.
• 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.

Support

For more information, contact Ruth Pfeiffer, Ph.D., or Mitchell Gail, M.D., Ph.D.