breast.survival: Breast cancer survival data (data frame)
In clayford/bme: Biostatistical Methods in Epidemiology

Description Usage Format Source Examples

A random sample of 199 female breast cancer patients who registered with the Northern Alberta Breast Cancer Registry in 1985. Entry into the cohort was restricted to women with either stage I, II, or III disease. This version of the breast cancer data includes the seven subjects who died of a cause other than breast cancer. Data are provided in different subsets and formats throughout Newman: Table 4.5(a), page 99 (breast); Table 5.3, page 126 (breast.receptor); Table 5.10, page 140 (breast.stage); Table 9.1, page 175 (breast.survival)

1	breast.survival

data frame with 199 observations and 4 variables:

time: survival time in months
status: censoring variable; 0 = censored; 1 = died of breast cancer
stage: stage of disease: I, II, III
receptor.level: amount of estrogen receptor that is present in breast tissue: low, high

Newman (2001)

## Cox regression, Example 15.2

## Set "high" as reference level
breast.survival$receptor.level <- relevel(breast.survival$receptor.level, ref = "high")
library(survival)
fit <- coxph(Surv(time, status) ~ receptor.level + stage, data = breast.survival) 

## Table 15.8
summary(fit)