Scholars@Duke
Mengqi Xie

Scholarly Works

Heterogeneity learning in distributed networks with large-scale survival data.

Journal article Biometrics · April 2026 This paper considers survival analysis of large-scale data distributed across heterogeneous network nodes. We propose a novel method, the Distributed Spanning-Tree-Based Fused Lasso (DSTFL), for Cox regression in distributed settings. By employing a minimu ... Full text Cite

A partially linear model for longitudinal data using deep neural networks

Journal article Science China Mathematics · January 1, 2026 Deep learning approaches have achieved great success in both applications and theoretical studies in recent years. In this paper, we study a partially linear regression model for longitudinal data, with the nonparametric component approximated by a deep ne ... Full text Cite

Simultaneous variable selection and estimation for a partially linear Cox model.

Journal article Statistical methods in medical research · April 2025 We consider simultaneous variable selection and estimation for a deep neural network-based partially linear Cox model and propose a novel penalized approach. In particular, a two-step iterative algorithm is developed with the use of the minimum information ... Full text Cite

Conditional modeling of recurrent event data with terminal event.

Journal article Lifetime data analysis · January 2025 Recurrent event data with a terminal event arise in follow-up studies. The current literature has primarily focused on the effect of covariates on the recurrent event process using marginal estimating equation approaches or joint modeling approaches via fr ... Full text Cite

A new type of double exponential Cox model with a gamma frailty

Journal article Statistics and Its Interface · January 1, 2025 Cox model is the most popular model for analyzing survival data. Gamma frailty is a commonly used method for modeling the heterogeneity of subjects. However, under the gamma frailty model, the marginal hazard would have effects of covariates dying out as t ... Full text Cite

A double exponential gamma-frailty model for clustered survival data

Journal article Journal of Nonparametric Statistics · January 1, 2025 We propose a double exponential gamma-frailty model for clustered survival data. This model addresses the limitation of shared gamma-frailty models, where the marginal effects of covariates diminish over time. To estimate parameters, we utilise a sieve max ... Full text Cite

A new gamma frailty joint modeling approach for recurrent event and terminal event

Journal article Statistics and Its Interface · January 1, 2025 In this article, we propose a new joint gamma frailty mod eling approach for recurrent event data with informative ter minal event by adopting a new type of double exponential Cox model to the terminal event. The proposed model over comes the drawback that ... Full text Cite

Transfer learning under the Cox model with interval-censored data

Journal article Statistical Analysis and Data Mining · April 1, 2024 Transfer learning, focusing on information borrowing to address limited sample size issues, has gained increasing attention in recent years. Our method aims to utilize data from other population groups as a complement to enhance risk factor discernment and ... Full text Cite