smoking | R Documentation |
Meta-analyses on the effect of smoking on mortality risk.
A data frame with the following columns:
study | study label |
participants | total number of participants |
d.smokers | number of deaths in smokers' group |
py.smokers | person years at risk in smokers' group |
d.nonsmokers | number of deaths in non-smokers' group |
py.nonsmokers | person years at risk in non-smokers' group |
Data have been reconstructed based on the famous Smoking and Health
Report to the Surgeon General (Bayne-Jones S et al., 1964). Data
sets can be used to evaluate the risk of smoking on overall
mortality (dataset smoking
) and lung-cancer deaths (dataset
lungcancer
), respectively.
The person time is attributed such that the rate ratios are equal to the reported mortality ratios implicitly assuming that the data have arisen from a homogeneous age group; more detailed information by age is not available from the report. Note, the group of "non-smokers" actually consists of all participants except those who are smokers of cigarettes only. Information on real non-smokers is not available from the published Smoking and Health Report.
Bayne-Jones S et al. (1964): Smoking and Health: Report of the Advisory Committee to the Surgeon General of the United States. U-23 Department of Health, Education, and Welfare. Public Health Service Publication No. 1103.
metainc
data(smoking)
m1 <- metainc(d.smokers, py.smokers, d.nonsmokers, py.nonsmokers,
data = smoking, studlab = study)
print(m1, digits = 2)
data(lungcancer)
m2 <- metainc(d.smokers, py.smokers, d.nonsmokers, py.nonsmokers,
data = lungcancer, studlab = study)
print(m2, digits = 2)
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