delta.t.RMST {SurrogateOutcome} | R Documentation |
Calculates the residual treatment effect (the difference in restricted mean survival time at time t) after accounting for the treatment effect on the primary outcome up to the landmark time
delta.t.RMST(xone, xzero, deltaone, deltazero, t, weight = NULL, landmark = landmark)
xone |
numeric vector, observed event times for the primary outcome in the treatment group. |
xzero |
numeric vector, observed event times for the primary outcome in the control group. |
deltaone |
numeric vector, event/censoring indicators for the primary outcome in the treatment group. |
deltazero |
numeric vector, event/censoring indicators for the primary outcome in the control group. |
t |
time of interest for treatment effect. |
weight |
optional weight. |
landmark |
landmark time of interest, |
See documentation for R.t.estimate for details.
delta.t |
the estimated residual treatment effect after accounting for the treatment effect on the primary outcome up to the landmark time |
Layla Parast
Parast L, Tian L, and Cai T (2020). Assessing the Value of a Censored Surrogate Outcome. Lifetime Data Analysis, 26(2):245-265.
data(ExampleData)
names(ExampleData)
delta.t.RMST(xone = ExampleData$x1, xzero = ExampleData$x0, deltaone = ExampleData$delta1,
deltazero = ExampleData$delta0, t = 5, landmark=2)