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.
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))