Bladder Cancer Data
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
A data frame with 31 observations on the following 3 variables.
a factor with levels
number of recurrent tumours.
The aim is the estimate the effect of size of tumour on the number
of recurrent tumours.
G. U. H. Seeber (1998), Poisson Regression. In: Encyclopedia of Biostatistics
(P. Armitage and T. Colton, eds), John Wiley \& Sons, Chichester.
data("bladdercancer", package = "HSAUR")
mosaicplot(xtabs(~ number + tumorsize, data = bladdercancer))
Dataset imported from https://www.r-project.org.