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stat.ME2023★ 1 cited
Partial Linear Cox Model with Deep ReLU Networks for Interval-Censored Failure Time Data
Jie Zhou, Yue Zhang, Zhangsheng Yu
The partial linear Cox model for interval-censoring is well-studied under the additive assumption but is still under-investigated without this assumption. In this paper, we propose…
stat.ME2021
Kernel regression for cause-specific hazard models with time-dependent coefficients
Xiaomeng Qi, Zhangsheng Yu
Competing risk data appear widely in modern biomedical research. Cause-specific hazard models are often used to deal with competing risk data in the past two decades. There is no c…