censor.weight {SurrogateTest} | R Documentation |
Calculates censoring probability for weighting
Description
Helper function; calculates censoring probability needed for inverse probability of censoring weighting
Usage
censor.weight(data.x, data.delta, t, weight = NULL)
Arguments
data.x |
numeric vector, the observed event time: X = min(T, C) where T is the time of the primary outcome, C is the censoring time. |
data.delta |
numeric vector of 0/1, the censoring indicator: D = I(T<C) where T is the time of the primary outcome, C is the censoring time. |
t |
number, the time of interest. |
weight |
a numeric vector or matrix of weights used for perturbation-resampling, default is null. |
Details
Computes the Kaplan Meier estimate of survival for the censoring random variable at the specified time
Value
Kaplan Meier estimate of survival for censoring at time t
Author(s)
Layla Parast
Examples
data(dataA)
censor.weight(data.x = dataA$x1, data.delta = dataA$delta1, t=0.5)
[Package SurrogateTest version 1.3 Index]