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.


Reference manual

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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