esoph
Smoking, Alcohol and (O)esophageal Cancer
Data from a case-control study of (o)esophageal cancer in Ille-et-Vilaine, France.
- Keywords
- datasets
Usage
esoph
Format
A data frame with records for 88 age/alcohol/tobacco combinations.
[,1] | "agegp" | Age group |
1 25--34 years | ||
2 35--44 | ||
3 45--54 | ||
4 55--64 | ||
5 65--74 | ||
6 75+ | ||
[,2] | "alcgp" | Alcohol consumption |
1 0--39 gm/day | ||
2 40--79 | ||
3 80--119 | ||
4 120+ | [,3] | "tobgp" |
Tobacco consumption | 1 0-- 9 gm/day | |
2 10--19 | ||
3 20--29 | ||
4 30+ | [,4] | |
"ncases" | Number of cases |
Source
Breslow, N. E. and Day, N. E. (1980) Statistical Methods in Cancer Research. Volume 1: The Analysis of Case-Control Studies. IARC Lyon / Oxford University Press.
Examples
library(datasets)
require(stats)
require(graphics) # for mosaicplot
summary(esoph)
## effects of alcohol, tobacco and interaction, age-adjusted
model1 <- glm(cbind(ncases, ncontrols) ~ agegp + tobgp * alcgp,
data = esoph, family = binomial())
anova(model1)
## Try a linear effect of alcohol and tobacco
model2 <- glm(cbind(ncases, ncontrols) ~ agegp + unclass(tobgp)
+ unclass(alcgp),
data = esoph, family = binomial())
summary(model2)
## Re-arrange data for a mosaic plot
ttt <- table(esoph$agegp, esoph$alcgp, esoph$tobgp)
o <- with(esoph, order(tobgp, alcgp, agegp))
ttt[ttt == 1] <- esoph$ncases[o]
tt1 <- table(esoph$agegp, esoph$alcgp, esoph$tobgp)
tt1[tt1 == 1] <- esoph$ncontrols[o]
tt <- array(c(ttt, tt1), c(dim(ttt),2),
c(dimnames(ttt), list(c("Cancer", "control"))))
mosaicplot(tt, main = "esoph data set", color = TRUE)
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