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 (2017) "Using a Surrogate Marker for Early Testing of a Treatment Effect" (under review).

Version: 1.0
Imports: stats, survival
Published: 2017-10-29
Author: Layla Parast
Maintainer: Layla Parast <parast at>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: SurrogateTest results


Reference manual: SurrogateTest.pdf
Package source: SurrogateTest_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: SurrogateTest_1.0.tgz, r-oldrel: SurrogateTest_1.0.tgz


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