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))