Sparse supervised principal component analysis for survival models
Survival prediction plays a vital role in biomedical research, but the large number of patient characteristics considered as covariates raises the concern about overfitting leading to poor prediction accuracy. To address this, we propose a sparse supervised PCA method for censored Accelerated Failur...
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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/156924 |
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| Institution: | Nanyang Technological University |
| Language: | English |