3 citations · 6 across the 6 of their papers we have counts for
6 papers
Deep non-parametric logistic model with case-control data and external summary information
Hengchao Shi, Ming Zheng, Wen Yu
The case-control sampling design serves as a pivotal strategy in mitigating the imbalanced structure observed in binary data. We consider the estimation of a non-parametric logisti…
Statistical inference for case-control logistic regression via integrating external summary data
Hengchao Shi, Xinyi Liu, Ming Zheng +1
Case-control sampling is a commonly used retrospective sampling design to alleviate imbalanced structure of binary data. When fitting the logistic regression model with case-contro…
Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions
Ruofan Wu, Jiawei Qiao, Mingzhe Wu +5
We present neural frailty machine (NFM), a powerful and flexible neural modeling framework for survival regressions. The NFM framework utilizes the classical idea of multiplicative…
Variable selection in doubly truncated regression
Ming Zheng, Chanjuan Lin, Wen Yu
Doubly truncated data arise in many areas such as astronomy, econometrics, and medical studies. For the regression analysis with doubly truncated response variables, the existence…
Surprise sampling: improving and extending the local case-control sampling
Xinwei Shen, Kani Chen, Wen Yu
Fithian and Hastie (2014) proposed a new sampling scheme called local case-control (LCC) sampling that achieves stability and efficiency by utilizing a clever adjustment pertained…
Regression analysis of doubly truncated data
Zhiliang Ying, Wen Yu, Ziqiang Zhao +1
Doubly truncated data are found in astronomy, econometrics and survival analysis literature. They arise when each observation is confined to an interval, i.e., only those which fal…