2 citations · 2 across the 6 of their papers we have counts for
6 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…
Time-varying -model for dynamic directed networks
Yuqing Du, Lianqiang Qu, Ting Yan +1
We extend the well-known -model for directed graphs to dynamic network setting, where we observe snapshots of adjacency matrices at different time points. We propose a kernel-sm…
A degree-corrected Cox model for dynamic networks
Yuguo Chen, Lianqiang Qu, Jinfeng Xu +2
Continuous time network data have been successfully modeled by multivariate counting processes, in which the intensity function is characterized by covariate information. However,…