دورية أكاديمية
survivalContour: visualizing predicted survival via colored contour plots.
| العنوان: | survivalContour: visualizing predicted survival via colored contour plots. |
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| المؤلفون: | Shi Y; Department of Population Health Sciences, Weill Cornell Medicine, New York, NY 10065, United States., Zhang L; Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, United States., Do KA; Department of Biostatistic, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States., Jenq RR; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, United States., Peterson CB; Department of Biostatistic, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States. |
| المصدر: | Bioinformatics advances [Bioinform Adv] 2024 Jul 25; Vol. 4 (1), pp. vbae105. Date of Electronic Publication: 2024 Jul 25 (Print Publication: 2024). |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9918282081306676 Publication Model: eCollection Cited Medium: Internet ISSN: 2635-0041 (Electronic) Linking ISSN: 26350041 NLM ISO Abbreviation: Bioinform Adv Subsets: PubMed not MEDLINE |
| أسماء مطبوعة: | Original Publication: [Oxford] : Oxford University Press : International Society for Computational Biology, [2021]- |
| مستخلص: | 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. Competing Interests: None declared. (© The Author(s) 2024. Published by Oxford University Press.) |
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| تواريخ الأحداث: | Date Created: 20240801 Latest Revision: 20240802 |
| رمز التحديث: | 20240802 |
| مُعرف محوري في PubMed: | PMC11290613 |
| DOI: | 10.1093/bioadv/vbae105 |
| PMID: | 39086987 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 2635-0041 |
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| DOI: | 10.1093/bioadv/vbae105 |