wwomen: Smoking and survival

In GLMsData: Generalized Linear Model Data Sets

Smoking and survival

Description

The smoking habits and survival of women in Whickham

Usage

data(wwomen)

Format

A data frame with 14 observations on the following 4 variables.

Age

the age of the women in completed years in the original survey; a factor with levels 18-24, 25-34, 35-44, 45-54, 55-64, 65-74 and 75+

Smoking

the smoking status of the women in the original survey; a factor with levels NonSmoker and Smoker

Status

the status of the women twenty years after the original survey; a factor with levels Dead or Alive

Count

the number of women in each category; a numeric vector

Details

The data gives the smoking and survival data for 1314 women in Whickham (north England). A survey was originally conducted in 1972–1974; a subsequent survey twenty years later followed up the women to determine how many women from the original survey had died. (Of the original women in the survey, 180 have been excluded here: 18 whose smoking habits were not recorded, and 162 who were smokers before the first survey but were non-smokers at the time of the second survey.)

Source

D. R. Appleton, J. M. French, and M. P. J. Vanderpump (1996) Ignoring a covariate: An example of Simpson's paradox. The American Statistician, 50, 340–341.

References

The data also appear in Anthony C. Davison. Statistical Models (2003) Number 11 in Cambridge Series in Statistical and Probabilistic Mathematics. Cambridge University Press, uk.

Examples

data(wwomen)
summary(wwomen)

GLMsData documentation built on Aug. 22, 2022, 9:10 a.m.