bladdercancer {HSAUR} | R Documentation

## Bladder Cancer Data

### Description

Data arise from 31 male patients who have been treated for superficial bladder cancer, and give the number of recurrent tumours during a particular time after the removal of the primary tumour, along with the size of the original tumour.

### Usage

    data("bladdercancer")

### Format

A data frame with 31 observations on the following 3 variables.

`time`
  the duration.
`tumorsize`
  a factor with levels `<=3cm` and `>3cm`.
`number`
  number of recurrent tumours.

### Details

The aim is the estimate the effect of size of tumour on the number of recurrent tumours.

### Source

G. U. H. Seeber (1998), Poisson Regression. In: Encyclopedia of Biostatistics (P. Armitage and T. Colton, eds), John Wiley & Sons, Chichester.

### Examples

      data("bladdercancer", package = "HSAUR")
      mosaicplot(xtabs(~ number + tumorsize, data = bladdercancer))

[Package HSAUR version 1.0-1 Index]