Description Usage Arguments Details Value Author(s) References Examples
View source: R/Functions_SurrogateTest.R
Variance estimation, generally not called directly by the user
1 2 3 | var.delta.eb(Axzero, Adeltazero, Aszero, Bxone, Bdeltaone,
Bsone, Bxzero, Bdeltazero, Bszero, t, landmark = landmark,
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 |
Bxone |
observed event times in the treatment group in Study B |
Bdeltaone |
event/censoring indicators in the treatment group in Study B |
Bsone |
surrogate marker values in the treatment group in Study B, NA for individuals not observable at the time the surrogate marker was measured |
Bxzero |
observed event times in the control group in Study B |
Bdeltazero |
event/censoring indicators in the control group in Study B |
Bszero |
surrogate marker values in the control group in Study B, NA for individuals not observable at the time the surrogate marker was measured |
t |
time of interest |
landmark |
landmark time of interest, t0 |
extrapolate |
TRUE or FALSE; indicates whether local constant extrapolation should be used, default is TRUE |
Variance estimation using the closed form expression under the null hypothesis of no treatment effect; more details are included in the documentation for early.delta.test.
Variance estimate for √{n_{B}}\hat{Δ}_{EB}(t,t_0)
Layla Parast
Parast L, Cai T, Tian L (2019). Using a Surrogate Marker for Early Testing of a Treatment Effect. Biometrics, 75(4):1253-1263.
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