R Dataset / Package survival / rats

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How To Compute the Mean

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How to Compute the Median

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<iframe src="https://embed.picostat.com/r-dataset-package-survival-rats.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-65633.csv 4.25 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Dataset Help

On this Picostat.com statistics page, you will find information about the rats data set which pertains to Rat treatment data from Mantel et al. The rats data set is found in the survival R package. You can load the rats data set in R by issuing the following command at the console data("rats"). This will load the data into a variable called rats. If R says the rats data set is not found, you can try installing the package by issuing this command install.packages("survival") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the rats R data set. The size of this file is about 4,355 bytes.

Documentation

Rat treatment data from Mantel et al

Description

Rat treatment data from Mantel et al. Three rats were chosen from each of 100 litters, one of which was treated with a drug, and then all followed for tumor incidence.

Usage

rats

Format

litter: litter number from 1 to 100
rx: treatment,(1=drug, 0=control)
time: time to tumor or last follow-up
status: event status, 1=tumor and 0=censored
sex: male or female

Note

Since only 2/150 of the male rats have a tumor, most analyses use only females (odd numbered litters), e.g. Lee et al.

Source

N. Mantel, N. R. Bohidar and J. L. Ciminera. Mantel-Haenszel analyses of litter-matched time to response data, with modifications for recovery of interlitter information. Cancer Research, 37:3863-3868, 1977.

References

E. W. Lee, L. J. Wei, and D. Amato, Cox-type regression analysis for large number of small groups of correlated failure time observations, in "Survival Analysis, State of the Art", Kluwer, 1992.

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Dataset imported from https://www.r-project.org.

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