dataDIVAT2: A Second Sample From the DIVAT Data Bank.

In RISCA: Causal Inference and Prediction in Cohort-Based Analyses

A Second Sample From the DIVAT Data Bank.

Description

A data frame with 1912 French kidney transplant recipients from the DIVAT cohort.

Usage

data(dataDIVAT2)

Format

A data frame with the 4 following variables:

age

This numeric vector provides the age of the recipient at the transplantation (in years).

hla

This numeric vector provides the indicator of transplantations with at least 4 HLA incompatibilities between the donor and the recipient (1 for high level and 0 otherwise).

retransplant

This numeric vector provides the indicator of re-transplantation (1 for more than one transplantation and 0 for first kidney transplantation).

ecd

The Expended Criteria Donor (1 for transplantations from ECD and 0 otherwise). ECD are defined by widely accepted criteria, which includes donors older than 60 years of age or 50-59 years of age with two of the following characteristics: history of hypertension, cerebrovascular accident as the cause of death or terminal serum creatinine higher than 1.5 mg/dL.

times

This numeric vector is the follow up times of each patient.

failures

This numeric vector is the event indicator (0=right censored, 1=event). An event is considered when return in dialysis or patient death with functioning graft is observed.

Source

URL: www.divat.fr

References

Le Borgne F, Giraudeau B, Querard AH, Giral M and Foucher Y. Comparisons of the performances of different statistical tests for time-to-event analysis with confounding factors: practical illustrations in kidney transplantation. Statistics in medicine. 30;35(7):1103-16, 2016. <doi:10.1002/ sim.6777>

Examples

data(dataDIVAT2)

# Compute the non-adjusted Hazard Ratio related to the ECD versus SCD
cox.ecd<-coxph(Surv(times, failures) ~ ecd, data=dataDIVAT2)
summary(cox.ecd) # Hazard Ratio = 1.97

RISCA documentation built on June 22, 2024, 12:22 p.m.