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Yifei Sun

5 papers hereh-index 7152 citations28 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1
  • last author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • stat.ME4
  • stat.AP1
same name
  • Yifei Sun — 12 papers, h 5
  • Yifei Sun — 8 papers, h 3
  • Yifei Sun — 8 papers, h 3
  • Yifei Sun — 7 papers, h 26
  • Yifei Sun — 7 papers, h 17
  • Yifei Sun — 5 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

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
Showing stat.MEShow all

4 papers · 1 filter

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.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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.