censor.weight: Calculates censoring probability for weighting

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

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(ExampleData)
censor.weight(data.x = ExampleData$x1, data.delta = ExampleData$delta1, t=5)

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