Description Usage Arguments Details Value Author(s) Examples
View source: R/SurrogateOutcome.R
Helper function; calculates censoring probability needed for inverse probability of censoring weighting
1 | censor.weight(data.x, data.delta, t, weight = NULL)
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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. |
Computes the Kaplan Meier estimate of survival for the censoring random variable at the specified time
Kaplan Meier estimate of survival for censoring at time t
Layla Parast
1 2 | data(ExampleData)
censor.weight(data.x = ExampleData$x1, data.delta = ExampleData$delta1, t=5)
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