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, In press.


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install.packages("SurrogateTest")

1.2 by Layla Parast, a year ago


Browse source code at https://github.com/cran/SurrogateTest


Authors: Layla Parast


Documentation:   PDF Manual  


GPL license


Imports stats, survival


See at CRAN