The RobinCar Family: R tools for robust covariate adjustment in randomized clinical trials
The RobinCar Family consists of two R packages, RobinCar and RobinCar2, designed to perform covariate‑adjusted analyses for continuous, discrete, and time‑to‑event outcomes in clinical trials. The packages implement traditional methods such as ANCOVA and newer approaches like ANHECOVA, G‑computation, and super‑covariate adjustment, as well as time‑to‑event techniques including covariate‑adjusted log‑rank tests and hazard ratio estimation. The tools were demonstrated on data from the AIDS Clinical Trials Group Study 175, showing they are straightforward and user‑friendly.
The RobinCar Family consists of two R packages, RobinCar and RobinCar2, designed to perform covariate‑adjusted analyses for continuous, discrete, and time‑to‑event outcomes in clinical trials. The packages implement traditional methods such as ANCOVA and newer approaches like ANHECOVA, G‑computation, and super‑covariate adjustment, as well as time‑to‑event techniques including covariate‑adjusted log‑rank tests and hazard ratio estimation. The tools were demonstrated on data from the AIDS Clinical Trials Group Study 175, showing they are straightforward and user‑friendly.
No direct relevance to Swiss AI.
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