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survivalContour: visualizing predicted survival via colored contour plots
Yushu Shi1, Liangliang Zhang2, Kim-Anh Do3
1Department of Population Health Sciences, Weill Cornell Medicine, New York, NY 10065, United States.
Summary:
Advances in survival analysis have facilitated unprecedented flexibility in data modeling, yet there remains a lack of tools for illustrating the influence of continuous covariates on predicted survival outcomes. We propose the utilization of a colored contour plot to depict the predicted survival probabilities over time. Our approach is capable of supporting conventional models, including the Cox and Fine-Gray models. However, its capability shines when coupled with cutting-edge machine learning models such as random survival forests and deep neural networks.
Availability And Implementation:
We provide a Shiny app at https://biostatistics.mdanderson.org/shinyapps/survivalContour/ and an R package available at https://github.com/YushuShi/survivalContour as implementations of this tool.
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