pred.smooth.surv.new: Calculates the conditional probability of survival to time t

In SurrogateTest: Early Testing for a Treatment Effect using Surrogate Marker Information

Description

Helper function; calculates the estimated conditional probability of survival to time t given survival to the landmark time and given surrogate marker information.

Usage

pred.smooth.surv.new(Axzero.f, Adeltazero.f, Aszero.f, Bsnew.f, 
Bsnew2.f = NULL, myt, bw = NULL, weight.pred, extrapolate)

Arguments

Axzero.f	observed event times in the control group in Study A
Adeltazero.f	event/censoring indicators in the control group in Study A
Aszero.f	surrogate marker values in the control group in Study A, NA for individuals not observable at the time the surrogate marker was measured
Bsnew.f	surrogate marker values in one group (either treatment or control) in Study B
Bsnew2.f	surrogate marker values in one group (either treatment or control) in Study B, optional
myt	time of interest
bw	bandwidth, optional
weight.pred	weight used for perturbation resampling
extrapolate	TRUE or FALSE; indicates whether local constant extrapolation should be used

Details

Details are included in the documentation for early.delta.test

Value

conditional probability of survival past t

Author(s)

Layla Parast

SurrogateTest documentation built on Nov. 16, 2021, 9:10 a.m.