R Dataset / Package survival / bladder
On this R-data statistics page, you will find information about the bladder data set which pertains to Bladder Cancer Recurrences. The bladder data set is found in the survival R package. You can load the bladder data set in R by issuing the following command at the console data("bladder"). This will load the data into a variable called bladder. If R says the bladder data set is not found, you can try installing the package by issuing this command install.packages("survival") and then attempt to reload the data with the library() command. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the bladder R data set. The size of this file is about 5,385 bytes.
Bladder Cancer Recurrences
Description
Data on recurrences of bladder cancer, used by many people to demonstrate methodology for recurrent event modelling.
Bladder1 is the full data set from the study. It contains all three treatment arms and all recurrences for 118 subjects; the maximum observed number of recurrences is 9.
Bladder is the data set that appears most commonly in the literature. It uses only the 85 subjects with nonzero follow-up who were assigned to either thiotepa or placebo, and only the first four recurrences for any patient. The status variable is 1 for recurrence and 0 for everything else (including death for any reason). The data set is laid out in the competing risks format of the paper by Wei, Lin, and Weissfeld.
Bladder2 uses the same subset of subjects as bladder, but formatted in the (start, stop] or Anderson-Gill style. Note that in transforming from the WLW to the AG style data set there is a quite common programming mistake that leads to extra follow-up time for 12 subjects: all those with follow-up beyond their 4th recurrence). Over this extended time these subjects are by definition not at risk for another event in the WLW data set.
Usage
bladder1 bladder bladder2
Format
bladder1
| id: | Patient id |
| treatment: | Placebo, pyridoxine (vitamin B6), or thiotepa |
| number: | Initial number of tumours (8=8 or more) |
| size: | Size (cm) of largest initial tumour |
| recur: | Number of recurrences |
| start,stop: | The start and end time of each time interval |
| status: | End of interval code, 0=censored, 1=recurrence, |
| 2=death from bladder disease, 3=death other/unknown cause | |
| rtumor: | Number of tumors found at the time of a recurrence |
| rsize: | Size of largest tumor at a recurrence |
| enum: | Event number (observation number within patient) |
bladder
| id: | Patient id |
| rx: | Treatment 1=placebo 2=thiotepa |
| number: | Initial number of tumours (8=8 or more) |
| size: | size (cm) of largest initial tumour |
| stop: | recurrence or censoring time |
| enum: | which recurrence (up to 4) |
bladder2
| id: | Patient id |
| rx: | Treatment 1=placebo 2=thiotepa |
| number: | Initial number of tumours (8=8 or more) |
| size: | size (cm) of largest initial tumour |
| start: | start of interval (0 or previous recurrence time) |
| stop: | recurrence or censoring time |
| enum: | which recurrence (up to 4) |
Source
Andrews DF, Hertzberg AM (1985), DATA: A Collection of Problems from Many Fields for the Student and Research Worker, New York: Springer-Verlag.
LJ Wei, DY Lin, L Weissfeld (1989), Regression analysis of multivariate incomplete failure time data by modeling marginal distributions. Journal of the American Statistical Association, 84.
Dataset imported from https://www.r-project.org.
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