Publications

2024

1. Kernel meets sieve: transformed hazards models with asynchronous longitudinal covariates

   Dayu Sun, Zhowei Sun, Xingqiu Zhao, and Hongyuan Cao

   2024

   Abs DOI arXiv

   We study the transformed hazards model with time-dependent covariates observed intermittently for the censored outcome. Existing work assumes the availability of the whole trajectory of the time-dependent covariates, which is unrealistic. We propose to combine kernel-weighted log-likelihood and sieve maximum log-likelihood estimation to conduct statistical inference. The method is robust and easy to implement. We establish the asymptotic properties of the proposed estimator and contribute to a rigorous theoretical framework for general kernel-weighted sieve M-estimators. Numerical studies corroborate our theoretical results and show that the proposed method performs favorably over existing methods. Applying to a COVID-19 study in Wuhan illustrates the practical utility of our method.

2. Temporal Trends in Suicide Ideation and Attempt among Justice-Involved Youth from 2016 to 2021

   Lin Liu, Melissa Padron, Dayu Sun, and Jeremy W. Pettit

   Suicide and Life-Threatening Behavior, 2024

   DOI
3. A robust approach for regression analysis of panel count data with time-varying covariates

   Dayu Sun, Yuanyuan Guo, Yang Li, Wanzhu Tu, and Jiangguo Sun

   Bernoulli, 2024

   DOI
4. A flexible time-varying coefficient rate model for panel count data

   Dayu Sun, Yuanyuan Guo, Yang Li, Jianguo Sun, and Wanzhu Tu

   Lifetime Data Analysis, 2024

   DOI

2023

1. Regression analysis of panel count data with both time-dependent covariates and time-varying effects

   Yuanyuan Guo, Dayu Sun, and Jianguo Sun

   Statistica Sinica, 2023

   DOI
2. Regression analysis of general mixed recurrent event data

   Ryan Sun, Dayu Sun, Liang Zhu, and Jianguo Sun

   Lifetime Data Analysis, 2023

   DOI

2022

1. Violent victimization during reentry: prevalence, triggers, and impact on mental health

   Lin Liu, Thomas J. Mowen, Christy A. Visher, and Dayu Sun

   Justice Quarterly, 2022

   DOI
2. Inference of a time-varying coefficient regression model for multivariate panel count data

   Yuanyuan Guo, Dayu Sun, and Jianguo Sun

   Journal of Multivariate Analysis, 2022

   DOI

2021

1. Regression analysis of asynchronous longitudinal data with informative observation processes

   Dayu Sun, Hui Zhao, and Jianguo Sun

   Computational Statistics & Data Analysis, 2021

   DOI
2. Do both petty and serious female offenders have shorter incarcerations than their male counterparts? Testing the universality of chivalrous treatment

   Lin Liu, Ronet Bachman, Jing Qiu, and Dayu Sun

   Women & Criminal Justice, 2021

   DOI
3. When post-incarcerated individuals return to high-risk neighborhoods: staying out of trouble, social withdrawal, and mental health

   Lin Liu, Christy A. Visher, Daniel J. O’Connell, and Dayu Sun

   Crime & Delinquency, 2021

   DOI
4. Examining the Association Between Angiopoietin-2 Levels and Acute Respiratory Distress Syndrome Subtypes in Critically Ill Patients with Sepsis

   P. Yang, D. Sun, A. Manatunga, F. Harris, L. Wells, S. Bhavani, G.S. Martin, and A.M. Esper

   In American Journal of Respiratory and Critical Care Medicine, 2021

   DOI

2020

1. An early adverse experience goes a long, criminogenic, gendered way: the nexus of early adversities, adult offending, and gender

   Lin Liu, Susan L. Miller, Jing Qiu, and Dayu Sun

   Women & Criminal Justice, 2020

   DOI
2. Do released prisoners’ perceptions of neighborhood condition affect reentry outcomes?

   Lin Liu, Christy A. Visher, and Dayu Sun

   Criminal Justice Policy Review, 2020

   DOI

2019

1. Simultaneous estimation and variable selection for incomplete event history studies

   Hui Zhao, Dayu Sun, Gang Li, and Jianguo Sun

   Journal of Multivariate Analysis, 2019

   DOI

2018

1. Variable selection for recurrent event data with broken adaptive ridge regression

   Hui Zhao, Dayu Sun, Gang Li, and Jianguo Sun

   Canadian Journal of Statistics, 2018

   DOI

2017

1. Inference on an adaptive accelerated life test with application to smart-grid data-acquisition-devices

   Lijuan Shen, Dayu Sun, Zhisheng Ye, and Xingqiu Zhao

   Journal of Quality Technology, 2017

   DOI