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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 timetoevent 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, In press.
Package details 


Author  Layla Parast 
Maintainer  Layla Parast <parast@rand.org> 
License  GPL 
Version  1.2 
Package repository  View on CRAN 
Installation 
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