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SurrogateTest
View on CRAN: Click
here
Download and install SurrogateTest package within the R console
Install from CRAN:
install.packages("SurrogateTest")
Install from Github:
library("remotes")
install_github("cran/SurrogateTest")
Install by package version:
library("remotes")
install_version("SurrogateTest", "1.3")
Attach the package and use:
library("SurrogateTest")
Maintained by
Layla Parast
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-10-29
Latest Update: 2021-11-16
Description:
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>.
How to cite:
Layla Parast (2017). SurrogateTest: Early Testing for a Treatment Effect using Surrogate Marker Information. R package version 1.3, https://cran.r-project.org/web/packages/SurrogateTest
Previous versions and publish date:
Other packages that cited SurrogateTest R package
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Other R packages that SurrogateTest depends,
imports, suggests or enhances
Functions, R codes and Examples using
the SurrogateTest R package
Some associated functions: Kern.FUN . VTM . censor.weight . cumsum2 . dataA . dataB . delta.ea.single . delta.eb.single . delta.estimate . design.study . early.delta.test . helper.si . int.hazc . int.hazc.plan . pred.smooth.surv.new . recover.B . var.delta.eb .
Some associated R codes: Functions_SurrogateTest.R . Full SurrogateTest package functions and examples
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