| dataDIVAT1 | R Documentation |
A data frame with 5943 French kidney transplant recipients from the DIVAT cohort.
data(dataDIVAT1)
A data frame with 5943 observations for the 7 following variables:
trajectoryA numeric vector with the sequences of observed states. The patient evolution can be described according to a 4-state structure: X=1 represents the healthy state, X=2 represents the acute rejection episode, X=3 the definitive return to dialysis and X=4 the death. These times can be right-censored. A vector of covariates is also collected at the transplantation, i.e. the baseline of the cohort.
time1A numeric vector with the times (in days) between the transplantation and the first clinical event (acute rejection episode, return to dialysis, or death with a functioning graft), or the times to censoring if trajectory=1.
time2A numeric vector with the time between the transplantation and the second clinical event (return to dialysis or death with a functioning graft), or the the time to censoring if trajectory=12.
ageRA numeric vector with the recipient age (in years) at the transplantation.
sexRA character vector with the recipient gender.
year.txA numeric vector with the calendar year of the transplantation.
zA numeric vector represents the explicative variable under interest, i.e. the delayed graft function (1=yes, 0=no).
URL: www.divat.fr
data(dataDIVAT1)
### a description of transitions
table(dataDIVAT1$trajectory)
### patient-graft survival (first event between the return to dialysis and the patient
### death with a functioning graft)
dataDIVAT1$failure<-1*(dataDIVAT1$trajectory!=1 & dataDIVAT1$trajectory!=12)
dataDIVAT1$time<-NA
dataDIVAT1$time<-ifelse(dataDIVAT1$trajectory %in% c(1,12,13,14),
dataDIVAT1$time1,dataDIVAT1$time1+dataDIVAT1$time2)
plot(survfit(Surv(time/365.24, failure) ~ 1 , data=dataDIVAT1), mark.time=FALSE,
xlim=c(0,12), ylim=c(0,1), cex=1.5, col=1, lwd=2, lty=1,
xlab="Times after the transplantation (years)",
ylab="Patient-graft survival")
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