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hdnom: Building Nomograms for Penalized Cox Models with High-Dimensional Survival Data

View ORCID ProfileNan Xiao, Qing-Song Xu, Miao-Zhu Li
doi: https://doi.org/10.1101/065524
Nan Xiao
1School of mathematics and scientistics, Central South University;School of Mathematics and Statistics, Central South University, Changsha, China
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Qing-Song Xu
1School of mathematics and scientistics, Central South University;School of Mathematics and Statistics, Central South University, Changsha, China
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Miao-Zhu Li
2Center for Population Health and Aging, Duke University, Durham, NC, United States
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Abstract

Summary We developed hdnom, an R package for survival modeling with high-dimensional data. The package is the first free and open-source software package that streamlines the workflow of penalized Cox model building, validation, calibration, comparison, and nomogram visualization, with nine types of penalized Cox regression methods fully supported. A web application and an online prediction tool maker are offered to enhance interac-tivity and flexibility in high-dimensional survival analysis.

Availability The hdnom R package is available from CRAN: https://cran.r-project.org/package=hdnom under GPL. The hdnom web application can be accessed at http://hdnom.io. The web application maker is available from http://hdnom.org/appmaker. The hdnom project website: http://hdnom.org.

Contact qsxu{at}csu.edu.cn or miaozhu.li{at}duke.edu

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Posted August 23, 2016.
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hdnom: Building Nomograms for Penalized Cox Models with High-Dimensional Survival Data
Nan Xiao, Qing-Song Xu, Miao-Zhu Li
bioRxiv 065524; doi: https://doi.org/10.1101/065524
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hdnom: Building Nomograms for Penalized Cox Models with High-Dimensional Survival Data
Nan Xiao, Qing-Song Xu, Miao-Zhu Li
bioRxiv 065524; doi: https://doi.org/10.1101/065524

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