Jih-Chang Yu

Experience

Postdoctoral Research Fellow
Academia Sinica (May 2019 – August 2023)
Postdoctoral Research Fellow
National Health Research Institutes (August 2015 – May 2019)
Ph.D. in Statistics
Institute of Statistics, National Tsing Hua University
M.S. in Applied Mathematics
Department of Applied Mathematics, Chung Yuan Christian University
B.S. in Mathematics (Pure Mathematics Division)
Department of Mathematics, Chung Yuan Christian University

Project

在左截斷之偏誤取樣下以B型肝炎作為暴露探討肝癌閾值年齡與壽命之因果仲介關係

Research Interests

Survival Analysis,

Longitudinal Data Analysis,

Causal Inference

Lab Goal

The primary goal of the lab is to develop and apply advanced statistical methodologies for causal inference, particularly in complex data settings such as survival analysis, longitudinal data, semi-competing and competing risks data. Our research aims to:

Innovate unsupervised model selection techniques for causal analysis, addressing challenges in data with multiple events and time-to-event outcomes.
Apply causal mediation analysis to explore and quantify the direct and indirect effects in various fields, including health sciences.
Provide rigorous methods for analyzing data with left truncation, competing risks, and semicompeting risks, ensuring accurate inferences and real-world applicability.
Integrate statistical models with real-world data to enhance understanding of causal relationships, especially in areas like epidemiology, public health, and medicine.

Publications

Jih-Chang Yu, Yu-Jen Cheng (2025). Estimation and Variable Selection for Semiparametric Transformation Models with Length-Biased Survival", Lifetime Data Analysis.
Jih-Chang Yu, Yen-Tsung Huang (2025). Separable Effects of Semicompeting Risks: The Effects of Hepatitis B on Liver Cancer via Liver Cirrhosis. Statistics in Medicine
Jih-Chang Yu, Yen-Tsung Huang (2025). Causal mediation analysis for time-to-event mediator and outcome in the presence of left truncation. Statistical Methods in Medical Research.
Jih-Chang Yu, Yen-Tsung Huang (2023). Unified semicompeting risks analysis of hepatitis natural history through mediation modeling. Statistics in Medicine.
Yen-Tsung Huang,Jih-Chang Yu,Jui-Hsiang Lin (2023, Jun). Surrogate marker assessment using mediation and instrumental variable analyses in a case-cohort design. Annals of Applied Statistics.
Jui-Hsiang Lin,Yi-Ting Huang,Jih-Chang Yu,Kin-Wei Arnold Chan,YenTsungang Yu,Yen-Tsung Huang (2023, Apr). Mediation and instrumental variable analyses for vaccine-induced antibody titer against influenza B. Vaccine. (Accepted).
Jih-Chang Yu, Fang-Chi Hsu and Yen-Feng Chiu (2018, Sep). Assessment of fenofibrate-methylation interactions on triglycerides using longitudinal family data. BMC Proceedings.
jeffrey S Chang, Yen-Feng Chiu, Jih-Chang Yu, Li-Tzong Chen, Hui-ju Ch′ang (2018, Apr). The Role of Consolidation Chemoradiotherapy in Locally Advanced Pancreatic Cancer. Cancer Research and Treatment

school affairs

Reviewer papers
2023-2025
Lifetime Data Analysis (2)
Statistical Sinica (2)

Thesis defense (9)

Administrative Committee Member (2025-)
Student Affairs Committee Member (2023-2025)
Library Committee Member (2023-2024)
Business School Scholarship Committee Member (2024-2025)

Invited Talks and Presentations

2024

Jih-Chang Yu/Yu-Jen Cheng,Estimation and Variable Selection for Semiparametric Transformation Models with Length-Biased Survival Data ,第三十三屆南區統計研討會,台中市,台灣

Jih-Chang Yu/Yen-Tsung Huang, Hypothesis test for causal mediation of semicompeting risks under copula, frailty and multistate models,陽明交通大學/成功大學/逢甲大學/淡江大學/Invited Session in the IASC-ARS Interim Conference 2024 at NTU

2023

Jih-Chang Yu/Yen-Tsung Huang,Separable effects under the semicompeting risks,112年統計學術研討會暨清華大學統計所35週年學術研討會

Jih-Chang Yu/Yen-Tsung Huang, Hypothesis test for causal mediation of semicompeting risks under copula, frailty and multistate models ,東海大學

Jih-Chang Yu/Yen-Tsung Huang,Separable effects under the semicompeting risks,KSS-CSA-JSS國際統計學術研討會,Busan ,South Korea

Jih-Chang Yu/Yen-Tsung Huang,Separable effects under the semicompeting risks,Econometrics and Statistics (EcoSta),Tokyo,Japan

2022

Jih-Chang Yu (joint work with Yen- Tsung Huang),Separable effects under the semicompeting risks,Causal inference seminar,新竹市,Taiwan

Jih-Chang Yu (joint work with Yen- Tsung Huang),Hypothesis test for causal mediation of semicompeting,第三十一屆南區統計研討會,台中市,台灣

Jih-Chang Yu (joint work with Yen- Tsung Huang),Hypothesis test for causal mediation of semicompeting,The 15th International conference of the ERCIM WG on computational and methodological statistics (CMStatistics),倫敦,英國

2021

Jih-Chang Yu (joint work with Yen- Tsung Huang),Unified semicompeting risks analysis of hepatitis natural history through mediation modeling.,International Chinese statistical association 2021 Applied Statistics Symposium. (Taiwan),線上,Taiwan

Jih-Chang Yu (joint work with Yen- Tsung Huang),Causal mediation analysis for time-to-event mediator and outcome in the presence of left truncation,4th International conference on econometrics and statistics (EcoSta 2021),線上,香港

Jih-Chang Yu (joint work with Yen- Tsung Huang),Unified semicompeting risks analysis of hepatitis natural history through mediation modeling.,統計學術研討會暨台、日、韓國際統計學術研討會,台北市,台灣

Jih-Chang Yu (joint work with Yen- Tsung Huang),Unified semicompeting risks analysis of hepatitis natural history through mediation modeling.,第三十屆南區統計研討會,高雄市,台灣

2020

Jih-Chang Yu (joint work with Yen- Tsung Huang),Causal mediation analysis for time-to-event mediator and outcome in the presence of left truncation,第二十九屆南區統計研討會,嘉義市,台灣

2019

Jih-Chang Yu (joint work with Yen- Tsung Huang),Causal mediation analysis for time-to-event mediator and outcome in the presence of left truncation,中國統計學社社員大會暨統計學術研討會,新竹市,台灣

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