WeightCalibSurvival R Package
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, 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.
- 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.