Description Usage Arguments Value Examples
Generate table for estimated survival probabilities by EL for treatment, control and their difference. Require formattable
package to run.
1 2 | el.est.table(y,delta,treat,x,psix_moment = c("first","second"),
t,Nboot=500,standardize=FALSE)
|
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 |
psix_moment |
|
t |
a numeric vector of time points for estimation |
Nboot |
number of iterations in Bootstrap, default by |
standardize |
a logical object of whether the covariance matrix |
A table (formattable
object) containing the estimated S(t) with standard deviation at each time point.
1 2 3 4 5 6 7 8 9 | 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)
el.est.table(y=y,delta=delta,treat=treat,x=x,psix_moment="first",t=t,
Nboot=500,standardize=FALSE)
|
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