KEY2STATS

View Data Set

Name:

Data from the Whickham survey

Description:

Data on age, smoking, and mortality from a one-in-six survey of the electoral roll in Whickham, a mixed urban and rural district near Newcastle upon Tyne, in the UK. The survey was conducted in 1972-1974 to study heart disease and thyroid disease. A follow-up on those in the survey was conducted twenty years later.

Variables:

A data frame with 1314 observations on women for the following variables.

outcome survival status after 20 years: a factor with levels Alive Dead
smoker smoking status at baseline: a factor with levels No Yes
age age (in years) at the time of the first survey

Details

This dataset contains a subset of the survey sample: women who were classified as current smokers or as never having smoked. The data were synthesized from the summary description tables given in the Appleton et al al paper.

Link To Google Sheets:

Rows:

1314

Columns:

Files:

Data from the Whickham survey_1296_31.csv

License Type:

Public Domain (CC0)

References/Notes/Attributions:

References

DR Appleton, JM French, MPJ Vanderpump. "Ignoring a covariate: an example of Simpson's paradox". (1996) American Statistician, 50(4):340-341.

R Dataset Upload:

Use the following R code to directly access this dataset in R.

d <- read.csv("https://www.key2stats.com/Data_from_the_Whickham_survey_1296_31.csv")