LungCancerETS_df: Passive Smoking's Lung Cancer Threat in Women

In OncoDataSets: A Comprehensive Collection of Cancer Types and Cancer-Related Datasets

Passive Smoking's Lung Cancer Threat in Women

Description

This dataset, LungCancerETS_df, is a data frame containing results from 37 studies on the risk of lung cancer in women exposed to environmental tobacco smoke (ETS) from their smoking spouse. The dataset includes data from both cohort and case-control studies, focusing on women who are lifelong nonsmokers but have been exposed to ETS.

Usage

data(LungCancerETS_df)

Format

A data frame with 37 observations and 11 variables:

study

Study identifier (integer).

author

Author(s) of the study (character).

year

Year of publication (integer).

country

Country where the study was conducted (character).

design

Design of the study (e.g., cohort or case-control) (character).

cases

Number of cases in the study (integer).

or

Odds ratio estimate (numeric).

or.lb

Lower bound of the odds ratio confidence interval (numeric).

or.ub

Upper bound of the odds ratio confidence interval (numeric).

yi

Effect size estimate (numeric).

vi

Variance of the effect size estimate (numeric).

Details

The dataset name has been kept as 'LungCancerETS_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the OncoDataSets package and assists users in identifying its specific characteristics. The suffix '_df' indicates that the dataset is a data frame. The original content has not been modified in any way.

Source

Data taken from the metadat package. Hackshaw, A. K., Law, M. R., & Wald, N. J. (1997). The accumulated evidence on lung cancer and environmental tobacco smoke. British Medical Journal, 315(7114), 980-988. https://doi.org/10.1136/bmj.315.7114.980 Hackshaw, A. K. (1998). Lung cancer and passive smoking. Statistical Methods in Medical Research, 7(2), 119-136. https://doi.org/10.1177/096228029800700203

OncoDataSets documentation built on April 3, 2025, 6:08 p.m.