4 papers
Causal inference for censored data with continuous marks
Lianqiang Qu, Long Lv, Liuquan Sun
This paper presents a framework for causal inference in the presence of censored data,where the failure time is marked by a continuous variable referred to as a mark.The mark is ob…
Conditional inference for high-dimensional multi-omics survival data
Heyuan Zhang, Meiling Hao, Lianqiang Qu +1
Multi-omics data present significant challenges for statistical inference due to the complex interdependencies among biological layers. In this paper, we introduce a novel Multi-Om…
Linear spline index regression model: Interpretability, nonlinearity and dimension reduction
Lianqiang Qu, Long Lv, Meiling Hao +1
Inspired by the complexity of certain real-world datasets, this article introduces a novel flexible linear spline index regression model. The model posits piecewise linear effects…
Distributed variable screening for generalized linear models
Tianbo Diao, Lianqiang Qu, Bo Li +1
In this article, we develop a distributed variable screening method for generalized linear models. This method is designed to handle situations where both the sample size and the n…