kidney: Infections in kidney patients
In brms: Bayesian Regression Models using 'Stan'

kidney

R Documentation

Infections in kidney patients

Description

This dataset, originally discussed in McGilchrist and Aisbett (1991), describes the first and second (possibly right censored) recurrence time of infection in kidney patients using portable dialysis equipment. In addition, information on the risk variables age, sex and disease type is provided.

Usage

kidney

Format

A data frame of 76 observations containing information on the following 7 variables.

time: The time to first or second recurrence of the infection, or the time of censoring
recur: A factor of levels 1 or 2 indicating if the infection recurred for the first or second time for this patient
censored: Either 0 or 1, where 0 indicates no censoring of recurrence time and 1 indicates right censoring
patient: The patient number
age: The age of the patient
sex: The sex of the patient
disease: A factor of levels other, GN, AN, and PKD specifying the type of disease

Source

McGilchrist, C. A., & Aisbett, C. W. (1991). Regression with frailty in survival analysis. Biometrics, 47(2), 461-466.

Examples

## Not run: 
## performing surivival analysis using the "weibull" family
fit1 <- brm(time | cens(censored) ~ age + sex + disease,
            data = kidney, family = weibull, init = "0")
summary(fit1)
plot(fit1)

## adding random intercepts over patients
fit2 <- brm(time | cens(censored) ~ age + sex + disease + (1|patient),
            data = kidney, family = weibull(), init = "0",
            prior = set_prior("cauchy(0,2)", class = "sd"))
summary(fit2)
plot(fit2)

## End(Not run)

brms documentation built on Sept. 23, 2024, 5:08 p.m.