delta.t.RMST: Calculates the residual treatment effect (the difference in...

In SurrogateOutcome: Estimation of the Proportion of Treatment Effect Explained by Surrogate Outcome Information

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.

Details

See documentation for R.t.estimate for details.

Value

delta.t

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

Author(s)

Layla Parast

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

data(ExampleData)
names(ExampleData)
delta.t.RMST(xone = ExampleData$x1, xzero = ExampleData$x0, deltaone = ExampleData$delta1, 
deltazero = ExampleData$delta0, t = 5, landmark=2)

SurrogateOutcome documentation built on Nov. 15, 2021, 5:08 p.m.