Description Usage Arguments Details Value Author(s) Examples
View source: R/Functions_SurrogateTest.R
Calculates the early treatment effect estimate in Study B, generally not called directly by the user
1 2 3 | delta.ea.single(Axzero, Adeltazero, Aszero, Bxzero, Bdeltazero,
Bszero, Bxone, Bdeltaone, Bsone, t, landmark, weightA = NULL,
weightB = NULL, weight.both = NULL, extrapolate)
|
Axzero |
observed event times in the control group in Study A |
Adeltazero |
event/censoring indicators in the control group in Study A |
Aszero |
surrogate marker values in the control group in Study A, NA for individuals not observable at the time the surrogate marker was measured |
Bxzero |
observed event times in the control group in Study A |
Bdeltazero |
event/censoring indicators in the control group in Study A |
Bszero |
surrogate marker values in the control group in Study A, NA for individuals not observable at the time the surrogate marker was measured |
Bxone |
observed event times in the treatment group in Study A |
Bdeltaone |
event/censoring indicators in the treatment group in Study A |
Bsone |
surrogate marker values in the treatment group in Study A, NA for individuals not observable at the time the surrogate marker was measured |
t |
time of interest |
landmark |
landmark time of interest, t0 |
weightA |
Study A weights used for perturbation resampling |
weightB |
Study A weights used for perturbation resampling |
weight.both |
Study A (replicated) weights used for perturbation resampling |
extrapolate |
TRUE or FALSE; indicates whether local constant extrapolation should be used |
Details are included in the documentation for design.study and recover.B
early treatment effect estimate
Layla Parast
1 2 3 4 5 6 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.