hdnom

hdnom creates nomogram visualizations for penalized Cox regression models, with the support of reproducible survival model building, validation, calibration, and comparison for high-dimensional data.

Paper Citation

Formatted citation for the preprint:

Nan Xiao, Qing-Song Xu, and Miao-Zhu Li. "hdnom: Building Nomograms for Penalized Cox Models with High-Dimensional Survival Data." bioRxiv (2016): 065524; doi: https://dx.doi.org/10.1101/065524

BibTeX entry:

@article {hdnompreprint2016,
  author = {Xiao, Nan and Xu, Qing-Song and Li, Miao-Zhu},
  title = {hdnom: Building Nomograms for Penalized Cox Models with High-Dimensional Survival Data},
  year = {2016},
  doi = {10.1101/065524},
  publisher = {Cold Spring Harbor Labs Journals},
  URL = {https://www.biorxiv.org/content/early/2016/08/23/065524},
  eprint = {https://www.biorxiv.org/content/biorxiv/early/2016/08/23/065524.full.pdf},
  journal = {bioRxiv}
}

Installation

To download and install hdnom from CRAN:

install.packages("hdnom")

Or try the development version on GitHub:

# install.packages("devtools")
devtools::install_github("road2stat/hdnom")

Browse the vignettes to start.

Gallery

Nomogram Visualization / Kaplan-Meier Plot with Number at Risk Table

Model Validation / Model Calibration

Model Comparison via Validation / Calibration

Links

• hdnom project: https://nanx.me/hdnom/
• hdnom web application: http://hdnom.io
• hdnom appmaker: https://nanx.me/hdnom/appmaker
• CRAN: https://cran.r-project.org/package=hdnom
• GitHub: https://github.com/road2stat/hdnom

Contribute

To contribute to this project, please take a look at the Contributing Guidelines first. Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.