Code and publicly available data for:
Johns L, Brayley M, Frost R, Coulson P, Jones M, Berrington de Gonzalez A, García-Closas M. Breast density and risk factors for interval and screen-detected breast cancers: a case-case analysis of the Breast Cancer Now Generations Cohort, UK.
This repository contains the code for a case-case analysis examining differences in aetiology between interval and screen-detected breast cancers utilising Breast Cancer Now Generations Study (BGS) data. The analysis looks at the risk factors associated with mammographic breast density, using linear regression, and then uses logistic regression to calculate odds ratios (OR) for interval vs screen-detected breast cancers, adjusting for breast density and tumour characteristics.
- Reproduction of manuscript figures and tables
BC_detection_mode
├── detection_mode_DD/ # Data dictionaries for detection mode
│
├── detection_mode_project/
│ ├── code/ # Code to reproduce results from BGS data
│ ├── density_selection/ # Process to select breast density measurements for each participant
│ └── outputs/ # Output tables and figures
│
└── flowchart/ # Flowchart of BGS participants for inclusion in case/case analysis
- R (version 4.4.1 or later recommended)
If you use this repository in your work, please cite:
Johns L, Brayley M, Frost R, Coulson P, Jones M, Berrington de Gonzalez A, García-Closas M. BC_detection_mode. (2026). https://doi.org/10.5281/zenodo.18937247
This project is licensed under the MIT License.