Sparse supervised principal component analysis for survival models

• المؤلف الرئيسي: Poh, Charissa Li Ann
• مؤلفون آخرون: Xiang Liming
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2022
• الموضوعات: Science::Mathematics::Statistics
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/156924
• المؤسسة: Nanyang Technological University

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...