hoel {survival} | R Documentation |
Mouse cancer data
Description
Days until occurence of cancer for male mice
Usage
data("cancer")
Format
A data frame with 181 observations on the following 4 variables.
trt
treatment assignment:
Control
orGerm-free
days
days until death
outcome
outcome:
censor
,thymic lymphoma
,reticulum cell sarcoma
other causes
id
mouse id
Details
Two groups of male mice were given 300 rads of radiation and followed for cancer incidence. One group was maintained in a germ free environment. The data set is used as an example of competing risks in Kalbfleisch and Prentice. The germ-free environment has little effect on the rate of occurence of thymic lymphoma, but significantly delays the other causes of death.
Note
The Ontology Search website defines reticulm cell sarcoma as "An antiquated term that refers to a non-Hodgkin lymphoma composed of diffuse infiltrates of large, often anaplastic lymphocytes".
Source
The data can be found in appendix I of Kalbfleisch and Prentice.
References
Hoel, D.G. (1972), A representation of mortality data by competing risks. Biometrics 33, 1-30. Kalbfleisch, J.D. and Prentice, R.L. (1980). The statistical analysis of failure time data.
Examples
hsurv <- survfit(Surv(days, outcome) ~ trt, data = hoel, id= id)
plot(hsurv, lty=1:2, col=rep(1:3, each=2), lwd=2, xscale=30.5,
xlab="Months", ylab= "Death")
legend("topleft", c("Lymphoma control", "Lymphoma germ free",
"Sarcoma control", "Sarcoma germ free",
"Other control", "Other germ free"),
col=rep(1:3, each=2), lty=1:2, lwd=2, bty='n')
hfit <- coxph(Surv(days, outcome) ~ trt, data= hoel, id = id)