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