Semiparametric sieve maximum likelihood estimation for accelerated hazards model with interval-censored data

Semiparametric sieve maximum likelihood estimation for accelerated hazards model with interval-censored data

Interval censored data arise from many clinical studies when the failure event cannot be directly observed. Methods developed in the literature for semiparametric regression analysis of such data are mainly based on common survival models, such as the proportional hazards, proportional odds and acce...

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書目詳細資料
Main Authors:	Szabo, Zsolt, Liu, Xiaoyu, Xiang, Liming
其他作者:	School of Physical and Mathematical Sciences
格式:	Article
語言:	English
出版:	2022
主題:	Science::Mathematics Asymptotics Splines
在線閱讀:	https://hdl.handle.net/10356/159515
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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