R: Smoking, Alcohol and (O)esophageal Cancer

esoph {datasets} | R Documentation

## Smoking, Alcohol and (O)esophageal Cancer

### Description

Data from a case-control study of (o)esophageal cancer in Ille-et-Vilaine, France.

### 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 |
[,5] | "ncontrols" | Number of controls |

### Author(s)

Thomas Lumley

### 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

    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)

[Package datasets version 4.0.5 Index]