activity
20182023
most citedDynamic Risk Prediction Triggered by Intermediate Events Using Survival Tree Ensembles

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2023

Statistical inference for counting processes under shape heterogeneity

Yifei Sun, Ying Sheng

Proportional rate models are among the most popular methods for analyzing the rate function of counting processes. Although providing a straightforward rate-ratio interpretation of…

stat.ME2022

Hybrid Censored Quantile Regression Forest to Assess the Heterogeneous Effects

Huichen Zhu, Yifei Sun, Ying Wei

In many applications, heterogeneous treatment effects on a censored response variable are of primary interest, and it is natural to evaluate the effects at different quantiles (e.g…

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.ME2020

Recurrent Events Analysis With Data Collected at Informative Clinical Visits in Electronic Health Records

Yifei Sun, Charles E. McCulloch, Kieren A. Marr +1

Although increasingly used as a data resource for assembling cohorts, electronic health records (EHRs) pose many analytic challenges. In particular, a patient's health status influ…

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…