Learn R Programming

joineRML (version 0.1.1)

renal: Renal transplantation data

Description

This is a dataset on 407 patients suffering from chronic kidney disease who underwent a primary renal transplantation with a graft from a deceased or living donor in the University Hospital of the Catholic University of Leuven (Belgium) between 21 January 1983 and 16 August 2000. Chronic kidney (renal) disease is a progressive loss of renal function over a period of months or years through five stages. Each stage is a progression through an abnormally low and progressively worse glomerular filtration rate (GFR). The dataset records 3 repeated measures (2 continuous and 1 binary), and an event time.

Usage

data(renal)

Arguments

Format

This is a list with 4 data frames:
  1. prot: repeated measurement data for proteinuria (binary) that measures whether the kidneys succeed in sustaining the proteins in the blood and not discard them in the urine.
  2. haem: repeated measurement data for blood haematocrit level (continuous) that measures whether the kidneys produce adequate amounts of the hormone erythropoietin that regulates the red blood cell production.
  3. gfr: repeated measurement data for GFR (continuous) that measures the filtration rate of the kidneys.
  4. surv: time-to-event data for renal graft failure.
All datasets have the common data columns, which are in long format for the 3 longitudinal data data frames, and 1-per-subject for the time-to-event data frame:
The longitudinal datasets only contain 2 further columns:

Source

Dr Dimitris Rizopoulos (d.rizopoulos@erasmusmc.nl).

References

Rizopoulos D, Ghosh, P. A Bayesian semiparametric multivariate joint model for multiple longitudinal outcomes and a time-to-event. Stat Med. 2011; 30(12): 1366-80.

See Also

pbc2, heart.valve, epileptic.qol.