pred.smooth.surv: Calculates the conditional probability of survival for...

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

Description

Helper function; calculates the estimated probability of survival for control control group surrogate values using treatment group surrogate and outcome information.

Usage

pred.smooth.surv(xone.f, deltaone.f, sone.f, szero.one, myt, bw = NULL, 
weight, transform, extrapolate = T)

Arguments

xone.f	observed event times in the treatment group.
deltaone.f	censoring indicators in the treatment group.
sone.f	surrogate marker values in the treatment group.
szero.one	surrogate marker values in the control group.
myt	time of interest.
bw	bandwidth.
weight	weight used for perturbation resampling.
transform	TRUE or FALSE; indicates whether a transformation should be used, default is FALSE.
extrapolate	TRUE or FALSE; indicates whether local constant extrapolation should be used, default is TRUE.

Value

A list is returned:

Phat.ss	conditional probability of survival past t for control group
warn.flag	warning flag equal to 1 if extrapolation was used; 0 otherwise

Author(s)

Layla Parast

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