bladdercancer | R Documentation |
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.
data("bladdercancer")
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.
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 = "HSAUR3")
mosaicplot(xtabs(~ number + tumorsize, data = bladdercancer))
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