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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>.
| Version: | 1.3 |
| Imports: | stats, survival |
| Published: | 2021-11-16 |
| Author: | Layla Parast |
| Maintainer: | Layla Parast <parast at austin.utexas.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | no |
| CRAN checks: | SurrogateTest results |
| Reference manual: | SurrogateTest.pdf |
| Package source: | SurrogateTest_1.3.tar.gz |
| Windows binaries: | r-devel: SurrogateTest_1.3.zip, r-release: SurrogateTest_1.3.zip, r-oldrel: SurrogateTest_1.3.zip |
| macOS binaries: | r-release (arm64): SurrogateTest_1.3.tgz, r-oldrel (arm64): SurrogateTest_1.3.tgz, r-release (x86_64): SurrogateTest_1.3.tgz, r-oldrel (x86_64): SurrogateTest_1.3.tgz |
| Old sources: | SurrogateTest archive |
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