Kidney: Kidney

In CopulaCenR: Copula-Based Regression Models for Multivariate Censored Data

Kidney

Description

A real dataset of bivariate right-censored data with 38 subjects and 3 covariates. The data are the recurrence times to infection, at the point of insertion of the catheter, for kidney patients using portable dialysis equipment. Catheters may be removed for reasons other than infection, in which case the observation is censored. Each patient has exactly 2 observations.

Usage

data("Kidney")

Format

A data frame with 76 observations on the following 7 variables.

id

subject id

ind

margin indicator

obs_time

observed time

status

event status

age

in years

sex

1=male, 2=female

disease

disease type with 4 levels Other GN AN PKD

Note

This data has often been used to illustrate the use of random effects (frailty) in a survival model. However, one of the males (id 21) is a large outlier, with much longer survival than his peers. If this observation is removed no evidence remains for a random subject effect.

Source

https://github.com/therneau/survival

References

CA McGilchrist, CW Aisbett (1991), Regression with frailty in survival analysis. Biometrics 47, 461-66.

Examples

data(Kidney)
clayton_cox <- rc_spCox_copula(data = Kidney,
               var_list = c("age","sex","disease"),
               copula = "Clayton",
               method = "BFGS",
               B = 2)
summary(clayton_cox)

CopulaCenR documentation built on Sept. 24, 2023, 1:08 a.m.