Codebook for small-cell lung cancer dataset

Codebook: Small-Cell Lung Cancer Dataset

Where to find it

• Used in: Lab 4b: logistic regression
• File name: Stats4- more.csv
• Location: Available online at https://media.githubusercontent.com/media/CUNY-epibios/PUBH614/tree/main/datasets
• Download the dataset now

Code to load this dataset into R, and ensure all columns are read in as factor type:

Dataset Overview

This dataset contains information about small-cell lung cancer cases, including smoking status, cancer status, and patient sex. The dataset includes 209 observations with 3 variables.

Variables

smoke

• Description: Smoking status of the patient
• Type: Binary (0/1)
• Values:
  • 0 = Non-smoker
  • 1 = Smoker
• Missing values: None

lungca

• Description: Lung cancer status
• Type: Binary (0/1)
• Values:
  • 0 = No lung cancer
  • 1 = Has lung cancer
• Missing values: None

sex

• Description: Biological sex of the patient
• Type: Binary (M/F)
• Values:
  • M = Male
  • F = Female
• Missing values: None

Summary Statistics

Data Quality Notes

• The dataset is complete with no missing values
• All variables are coded consistently
• smoke and lungca use 0/1 coding
• sex is coded using single-letter values (M/F)

Acknowledgements

This codebook was drafted by Microsoft Copilot and edited by Levi Waldron.