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:
trajectory
A 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.
time1
A 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
.
time2
A 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
.
ageR
A numeric vector with the recipient age (in years) at the transplantation.
sexR
A character vector with the recipient gender.
year.tx
A numeric vector with the calendar year of the transplantation.
z
A 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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