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survivalContour: visualizing predicted survival via colored contour plots.

Authors :
Shi Y
Zhang L
Do KA
Jenq RR
Peterson CB
Source :
Bioinformatics advances [Bioinform Adv] 2024 Jul 25; Vol. 4 (1), pp. vbae105. Date of Electronic Publication: 2024 Jul 25 (Print Publication: 2024).
Publication Year :
2024

Abstract

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.<br />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.<br />Competing Interests: None declared.<br /> (© The Author(s) 2024. Published by Oxford University Press.)

Details

Language :
English
ISSN :
2635-0041
Volume :
4
Issue :
1
Database :
MEDLINE
Journal :
Bioinformatics advances
Publication Type :
Academic Journal
Accession number :
39086987
Full Text :
https://doi.org/10.1093/bioadv/vbae105