Description Usage Format References Examples

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.

1 | ```
data("bladderIDM")
``` |

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)

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.

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