SurrogateOutcome (version 1.1)

delta.t.RMST: 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

Description

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

Usage

delta.t.RMST(xone, xzero, deltaone, deltazero, t, weight = NULL, landmark = landmark)

Arguments

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, \(t_0\).

Value

delta.t

the estimated residual treatment effect after accounting for the treatment effect on the primary outcome up to the landmark time

Details

See documentation for R.t.estimate for details.

References

Parast L, Tian L, and Cai T (2020). Assessing the Value of a Censored Surrogate Outcome. Lifetime Data Analysis, 26(2):245-265.

Examples

# NOT RUN {
data(ExampleData)
names(ExampleData)
delta.t.RMST(xone = ExampleData$x1, xzero = ExampleData$x0, deltaone = ExampleData$delta1, 
deltazero = ExampleData$delta0, t = 5, landmark=2)
# }