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

Documentation:

Reference manual: SurrogateTest.pdf

Downloads:

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-release (x86_64): SurrogateTest_1.3.tgz, r-oldrel: SurrogateTest_1.3.tgz
Old sources: SurrogateTest archive

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