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>.
| 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 |
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