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 2.0.4 Index]