rats: Rat treatment data from Mantel et al
In survival: Survival Analysis
rats R 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
data(cancer, package="survival")
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.
survival documentation built on June 22, 2024, 10:49 a.m.
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| rats | R 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
data(cancer, package="survival")
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.
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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