km.est.pi.table: Table for Inverse Probabilty of Treatment Weighting

In kimihua1995/adjKMtest:

Description

Generate table for estimated survival probabilities by IPTW for treatment, control and their difference. Require formattable package to run.

Usage

km.est.pi.table(y,delta,treat,x,t,standardize=FALSE)

Arguments

y	a numeric vector of observed time
delta	a factor vector of indicator for events
treat	a factor vector of the treatment indicator
x	an optional covariance matrix containing the variables in the model
t	a numeric vector of time points for estimation
standardize	a logical object of whether the covariance matrix x would be centered and scaled, default by FALSE

Value

A table (formattable object) containing the estimated S(t) with standard deviation at each time point.

Examples

library(survival)
y <- as.matrix(gbsg$rfstime/(365.25/12))
treat <- data.matrix(gbsg$hormon)
delta <- as.matrix(gbsg$status)
x <- data.matrix(gbsg[,c("age","meno","size","grade","nodes","pgr","er")])
t <- seq(0,80,2)

km.est.pi.table(y=y,delta=delta,treat=treat,x=x,t=t,standardize=FALSE)

kimihua1995/adjKMtest documentation built on Jan. 1, 2021, 7:20 a.m.