Quantile regression for survival data with covariates subject to detection limits

With advances in biomedical research, biomarkers are becoming increasingly important prognostic factors for predicting overall survival, while the measurement of biomarkers is often censored due to instruments' lower limits of detection. This leads to two types of censoring: random censoring in...

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Bibliographic Details
Main Authors: Yu, Tonghui, Xiang, Liming, Wang, Huixia Judy
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/154635
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Institution: Nanyang Technological University
Language: English