activity
20122021
most citedSemiparametric Multivariate Accelerated Failure Time Model with Generalized Estimating Equations

31 citations · 64 across the 5 of their papers we have counts for

collaborators

5 papers

stat.CO2021★ 5 cited

Regression Modeling for Recurrent Events Using R Package reReg

Sy Han Chiou, Gongjun Xu, Jun Yan +1

Recurrent event analyses have found a wide range of applications in biomedicine, public health, and engineering, among others, where study subjects may experience a sequence of eve…

stat.AP2020★ 1 cited

Dynamic Risk Prediction Triggered by Intermediate Events Using Survival Tree Ensembles

Yifei Sun, Sy Han Chiou, Colin O. Wu +2

With the availability of massive amounts of data from electronic health records and registry databases, incorporating time-varying patient information to improve risk prediction ha…

stat.ME2018

ROC-Guided Survival Trees and Ensembles

Yifei Sun, Sy Han Chiou, Mei-Cheng Wang

Tree-based methods are popular nonparametric tools in studying time-to-event outcomes. In this article, we introduce a novel framework for survival trees and ensembles, where the t…

stat.CO2012★ 27 cited

Fast Accelerated Failure Time Modeling for Case-Cohort Data

Steven Chiou, Sangwook Kang, Jun Yan

Semiparametric accelerated failure time (AFT) models directly relate the predicted failure times to covariates and are a useful alternative to models that work on the hazard functi…

stat.ME2012★ 31 cited

Semiparametric Multivariate Accelerated Failure Time Model with Generalized Estimating Equations

Steven Chiou, Junghi Kim, Jun Yan

The semiparametric accelerated failure time model is not as widely used as the Cox relative risk model mainly due to computational difficulties. Recent developments in least square…