bladdercancer: Bladder Cancer Data
In HSAUR2: A Handbook of Statistical Analyses Using R (2nd Edition)
bladdercancer R Documentation
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.
timethe duration.
tumorsizea factor with levels <=3cm and >3cm.
numbernumber 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 = "HSAUR2")
mosaicplot(xtabs(~ number + tumorsize, data = bladdercancer))
HSAUR2 documentation built on June 8, 2025, 10:07 a.m.
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| bladdercancer | R Documentation |
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.
timethe duration.
tumorsizea factor with levels
<=3cmand>3cm.numbernumber 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 = "HSAUR2")
mosaicplot(xtabs(~ number + tumorsize, data = bladdercancer))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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