R: Bladder Cancer Recurrences.

bladderCS {condSURV} | R Documentation

## Bladder Cancer Recurrences.

### Description

bladderCS 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.

### 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(bladderCS)
      head(bladderCS)

[Package condSURV version 2.0.2 Index]