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HSAUR3 (version 1.0-5)

bladdercancer: 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")

Arguments

Format

A data frame with 31 observations on the following 3 variables.
time
the duration.
tumorsize
a factor with levels <=3cm< code=""> and >3cm.
number
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.

Details

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

Examples

Run this code

  data("bladdercancer", package = "HSAUR3")
  mosaicplot(xtabs(~ number + tumorsize, data = bladdercancer))

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