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Name:

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.

Variables:

A data frame with 31 observations on the following 4 variables.

time

the duration.

tumorsize

a factor with levels <=3cm and >3cm.

number

number of recurrent tumours.

Details

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

Link To Google Sheets:

Rows:

Columns:

License Type:

References/Notes/Attributions:

Source

G. U. H. Seeber (1998), Poisson Regression. In: Encyclopedia of Biostatistics (P. Armitage and T. Colton, eds), John Wiley \& Sons, Chichester.

R Dataset Upload:

Use the following R code to directly access this dataset in R.

d <- read.csv("https://www.key2stats.com/Bladder_Cancer_Data_924_77.csv")

R Coding Interface:


Datasets Tag Questions & Instructional Blocks

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