| esoph {base} | R Documentation |
Smoking, Alcohol and (O)esophageal Cancer
Description
Data from a case-control study of (o)esophageal cancer in Ile-et-Vilaine, France.
Usage
data(esoph)Format
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 | |
| [,5] | "ncontrols" | Number of subjects | |
Author(s)
Thomas Lumley
Source
Breslow and Day (1980). "Statistical Methods in Cancer Research. 1: The Analysis of Case-control studies"; IARC Lyon.
Examples
data(esoph)
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 + codes(tobgp) + codes(alcgp),
data = esoph, family = binomial())
summary(model2)