surv.land.obs.base: Estimates survival using landmark estimation

In landest: Landmark Estimation of Survival and Treatment Effect

Estimates survival using landmark estimation

Description

Estimates the probability of survival past some specified time using landmark estimation for an observational study setting

Usage

surv.land.obs.base(tl, dl, tt, landmark, short = NULL, z.cov = NULL, 
ps.weights, weight.perturb = NULL, perturb.ps = FALSE, bw = NULL)

Arguments

tl	observed event time of primary outcome, equal to min(T, C) where T is the event time and C is the censoring time.
dl	event indicator, equal to I(T<C) where T is the event time and C is the censoring time.
tt	the time of interest, function estimates the probability of survival past this time
landmark	the landmark time
short	a matrix of intermediate event information, there should be two columns for each intermediate event, the first column contains the observed intermediate event time, equal to min(TS, C) where TS is the event time and C is the censoring time, and the second column contains the event indicator, equal to I(TS<C)
z.cov	matrix of baseline covariate information
ps.weights	propensity score (or inverse probability of treatment) weights
weight.perturb	a n by x matrix of weights where n = length of tl; used for perturbation-resampling, default is null. If var or conf.int is TRUE and weight.perturb is not provided, the function generates exponential(1) weights.
perturb.ps	TRUE or FALSE indicating whether the weight.perturb matrix includes the perturbed propensity score (or inverse probability of treatment) weights
bw	bandwidth used for kernel estimation, default is NULL

Value

estimate of survival at the specified time

Author(s)

Layla Parast

landest documentation built on Aug. 26, 2023, 1:08 a.m.