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).
|Date of publication||2017-10-29 12:49:05 UTC|
|Maintainer||Layla Parast <[email protected]>|
|Package repository||View on CRAN|
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