bladderIDM: Bladder Cancer Recurrences.

In survidm: Inference and Prediction in an Illness-Death Model

Description

bladderIDM is a data frame with 8 variables and 85 observations. Data on recurrences of bladder cancer, used by many people to demonstrate methodology for recurrent event modelling.

Usage

data("bladderIDM")

Format

A data frame with 85 observations on the following 8 variables. Below a brief description is given for some of these variables.

t1

Time to first recurrence/censoring, whichever occurs first.

e1

Recurrence/censoring indicator (first recurrence=1) for the first time (t1).

t2

Time to second recurrence/censoring, whichever occurs first.

e2

Recurrence/censoring indicator (second recurrence=1) for the second time (t2)

t3

Time to recurrence/censoring, whichever occurs first.

e3

Recurrence/censoring indicator (third recurrence=1) for the third time (t3)

t4

Time to fourth recurrence/censoring, whichever occurs first.

e4

Recurrence/censoring indicator (fourth recurrence=1) for the fourth time (t4)

References

Byar, D. (1980) Veterans administration study of chemoprophylaxis for recurrent stage i bladder tumors: Comparisons of placebo, pyridoxine and topical thiotepa. Bladder Tumors and Other Topics in Urological Oncology, 18:363–370.

Examples

  data(bladderIDM)
  head(bladderIDM)

survidm documentation built on June 25, 2021, 1:07 a.m.