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RISCA (version 0.8)

dataDIVAT1: A First Sample From The DIVAT Data Bank.

Description

A data frame with 5943 French kidney transplant recipients from the DIVAT cohort.

Usage

data(dataDIVAT1)

Arguments

Format

A data frame with 5943 observations (rows) with the 7 following variables (columns):

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).

Examples

Run this code
# NOT RUN {
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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