Description Usage Arguments Details Value Author(s) References Examples
View source: R/SurrogateOutcome.R
Calculates the residual treatment effect (the difference in restricted mean survival time at time t) after accounting for the treatment effect on the surrogate outcome information up to the landmark time; uses semi-parametric estimation.
1 2 | delta.q.event.semi.RMST(xone, xzero, deltaone, deltazero, sone, szero, t,
weight = NULL, landmark = landmark, deltaslist = TRUE, number)
|
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. |
sone |
numeric vector, observed event times for the surrogate outcome in the treatment group. |
szero |
numeric vector, observed event times for the surrogate outcome in the control group. |
t |
time of interest for treatment effect. |
weight |
optional weight. |
landmark |
landmark time of interest, t_0. |
deltaslist |
TRUE or FALSE; if TRUE, each component of the residual treatment effect is returned along with the residual treatment effect itself, if FALSE, only the residual treatment effect is returned. |
number |
number of points for RMST calculation, default is 40. |
See documentation for R.q.event for details.
A list is returned:
delta.q |
the estimated residual treatment effect |
first.term |
the first term of the residual treatment effect, if deltaslist = TRUE |
second.term |
the second term of the residual treatment effect, if deltaslist = TRUE |
third.term |
the third term of the residual treatment effect, if deltaslist = TRUE |
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.
1 2 3 4 5 6 7 8 9 | data(ExampleData)
names(ExampleData)
delta.q.event.semi.RMST(xone = ExampleData$x1, xzero = ExampleData$x0, deltaone =
ExampleData$delta1, deltazero = ExampleData$delta0, sone = ExampleData$s1,
szero = ExampleData$s0, t = 5, landmark=2, number = 40)
delta.q.event.semi.RMST(xone = ExampleData$x1, xzero = ExampleData$x0, deltaone =
ExampleData$delta1, deltazero = ExampleData$delta0, sone = ExampleData$s1,
szero = ExampleData$s0, t = 3, landmark=2, number = 40)
|
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