ROCt (version 0.9.5)

dataDIVAT:

Description

A data frame with 4267 French kidney transplant recipients. The time-to-event is the time between the transplantation and the recipient death. This time can be right-censored. A vector of covariates is also collected at the transplantation.

Usage

data(dataDIVAT)

Format

A data frame with 4267 observations (raws) with the 8 following variables (columns).

ageR

This numeric vector represents the age of the recipient (in years)

sexeR

This numeric vector represents the gender of the recipient (1=men, 0=female)

year.tx

This numeric vector represents the year of the transplantation

ante.diab

This numeric vector represents the diabetes statute (1=yes, 0=no)

pra

This numeric vector represents the pre-graft immunization using the panel reactive antibody (1=detectable, 0=undetectable)

ageD

This numeric vector represents the age of the donor (in years)

death.time

This numeric vector represents the follow up time in days (until death or censoring)

death

This numeric vector represents the death indicator at the follow-up end (1=death, 0=alive)

Details

The immunology and nephrology department of the Nantes University hospital constituted a data bank with the monitoring of medical records for kidney and/or pancreas transplant recipients. The associated software is called DIVAT. Here is a sample of 4267 patients. The time-to-event is the time between the transplantation and the death of the recipient. This time can be right-censored. A vector of covariates, all measured at the transplantation, is also collected for each patient.

Examples

data(dataDIVAT)

### a short summary of the recipient age at the transplantation
summary(dataDIVAT$ageR)

### Kaplan and Meier estimation of the recipient survival
plot(survfit(Surv(death.time/365.25, death) ~ 1, data = dataDIVAT),
 xlab="Post transplantation time (in years)", ylab="Patient survival",
 mark.time=FALSE)