SurrogateTest
Early Testing for a Treatment Effect using Surrogate Marker Information
Provides functions to test for a treatment effect in terms of the difference in survival between a treatment group and a control group using surrogate marker information obtained at some early time point in a time-to-event outcome setting. Nonparametric kernel estimation is used to estimate the test statistic and perturbation resampling is used for variance estimation. More details will be available in the future in: Parast L, Cai T, Tian L (2019) ``Using a Surrogate Marker for Early Testing of a Treatment Effect" Biometrics, 75(4):1253-1263. <doi:10.1111/biom.13067>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3 |
rolling linux/jammy R-4.5 | SurrogateTest_1.3.tar.gz |
154.8 KiB |
1.3 |
rolling linux/noble R-4.5 | SurrogateTest_1.3.tar.gz |
154.7 KiB |
1.3 |
rolling source/ R- | SurrogateTest_1.3.tar.gz |
73.7 KiB |
1.3 |
latest linux/jammy R-4.5 | SurrogateTest_1.3.tar.gz |
154.8 KiB |
1.3 |
latest linux/noble R-4.5 | SurrogateTest_1.3.tar.gz |
154.7 KiB |
1.3 |
latest source/ R- | SurrogateTest_1.3.tar.gz |
73.7 KiB |
1.3 |
2026-04-26 source/ R- | SurrogateTest_1.3.tar.gz |
73.7 KiB |
1.3 |
2026-04-23 source/ R- | SurrogateTest_1.3.tar.gz |
73.7 KiB |
1.3 |
2026-04-09 windows/windows R-4.5 | SurrogateTest_1.3.zip |
158.5 KiB |
1.3 |
2025-04-20 source/ R- | SurrogateTest_1.3.tar.gz |
73.7 KiB |