This is an R package that implements the method of Rank Preserving Structural Failure Time models to estimate causal effects in failure time models in randomised control trials where participants do not comply with the treatment assigned.
As an example:
library(rpsftm)
?immdef
fit <- rpsftm(Surv(progyrs, prog)~rand(imm,1-xoyrs/progyrs), data = immdef, censor_time = censyrs)
summary(fit)
#> arm rx.Min. rx.1st Qu. rx.Median rx.Mean rx.3rd Qu. rx.Max.
#> 1 0 0.0000000 0.0000000 0.0000000 0.1574062 0.2547779 0.9770941
#> 2 1 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
#> Length Class Mode
#> psi 1 -none- numeric
#> fit 17 survfit list
#> CI 2 -none- numeric
#> Sstar 1000 Surv numeric
#> rand 2000 rand numeric
#> ans 5 -none- list
#> eval_z 2 data.frame list
#> n 2 table numeric
#> obs 2 -none- numeric
#> exp 2 -none- numeric
#> var 4 -none- numeric
#> chisq 1 -none- numeric
#> pvalue 1 -none- numeric
#> call 4 -none- call
#> formula 3 terms call
#> terms 3 terms call
#>
#> psi: -0.1813226
#> exp(psi): 0.8341662
#> Confidence Interval, psi -0.34984 0.002287789
#> Confidence Interval, exp(psi) 0.7048008 1.00229
plot(fit)
The main function is rpsftm which returns an object that has print,
summary, and plot S3 methods.
See the vignette rpsftm_vignette for further details, explanation and examples.