| divat {wally} | R Documentation |
divat data
Description
Extracted data from a french population based cohort (DIVAT cohort). The dataset includes followup information on kidney graft failure outcome and predicted 5-year risks based on based on the subject specific information which includes age, gender, cardiovascular and diabetes histories, monitoring of the evolution of the kidney function measured via serum creatinine and relevant characteristics of his or her kidney donor. Graft failure is defined as either death with functioning kidney graft or return to dialysis. The prediction model from which the predictions have been computed has been previously fitted using an independent training sample from the DIVAT data. Details about data and modeling can be found in Fournier et al. (2016).
Format
A subsample consisting of 1300 observations on the following 3 variables.
- pi
5-year risk prediction of kidney graft failure.
- status
0=censored, 1=kidney graft failure
- time
time to event (i.e., time to kidney graft failure or loss of follow-up)
References
Fournier, M. C., Foucher, Y., Blanche, P., Buron, F., Giral, M., & Dantan, E. (2016). A joint model for longitudinal and time-to-event data to better assess the specific role of donor and recipient factors on long-term kidney transplantation outcomes. European journal of epidemiology, 31(5), 469-479.
Examples
data(divat)