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College of Artificial Intelligence

이동환 프로필 사진 
Donghwan Lee is a professor of the Department of Statistics at Ewha Womans University, South Korea. He received his Ph.D. in Statistics from Seoul National University. His research interests include statistical modeling for large-scale medical and biological data using generalized linear models and mixed-effects models, as well as causal inference, survival analysis, and biomedical data science.
  • donghwan.lee@ewha.ac.kr
  • Associate Vice President for Admissions(Admissions Policy)
  • Science Building B #B509
  • 02-3277-2300
  • Research Interests
    • Random-effects models, Causal Inference, Machine Learning, Survival Analysis, Biostatistics
  • sdg03
  • sdg09
Research Record
  • Sensitivity Analysis for Effects of Multiple Exposures in the Presence of Unmeasured Confounding BIOMETRICAL JOURNAL, 2025, v.67 no.1, e70033
    SCIE Scopus dColl.
  • Bias reduction for semi-competing risks frailty model with rare events: application to a chronic kidney disease cohort study in South Korea Lifetime Data Analysis, 2024, v.30 no.2, 310-326
    SCIE Scopus dColl.
  • Sensitivity Analysis for Effects of Multiple Exposures in the Presence of Unmeasured Confounding: Non-Gaussian and Time-to-Event Outcomes Statistics in Medicine, 2024, v.43 no.30, 5996-6025
    SCIE Scopus dColl.
  • Overall assessment for selected markers from high-throughput data Statistics in Medicine, 2022, v.41 no.30, 5830-5843
    SCIE Scopus dColl.
  • Extended likelihood approach to multiple testing with directional error control under a hidden Markov random field model JOURNAL OF MULTIVARIATE ANALYSIS, 2016, v.151, 1-13
    SCIE Scopus dColl.
  • Nonparametric estimation of the rediscovery rate Statistics in Medicine, 2016, 22 FEB 2016
    SCIE Scopus dColl.
  • Rediscovery rate estimation for assessing the validation of significant findings in high-throughput studies BRIEFINGS IN BIOINFORMATICS, 2015, v.16 no.4, 563-575
    SCIE Scopus dColl.
  • Machine learning prediction model of the treatment response in schizophrenia reveals the importance of metabolic and subjective characteristics SCHIZOPHRENIA RESEARCH, 2025, v.275, 146-155
    SCIE SSCI Scopus dColl.
  • Modeling the Determinants of Subjective Well-Being in Schizophrenia Schizophrenia Bulletin, 2025, v.51 no.4, 1118-1133
    SCIE SSCI Scopus dColl.
  • CTGAN-Based Model to Mitigate Data Scarcity for Cost Estimation in Green Building Projects Journal of Management in Engineering, 2024, v.40 no.4, 4024024
    SCIE Scopus dColl.
  • Comparing predictions among competing risks models with rare events: application to KNOW-CKD atudy—a multicentre cohort study of chronic kidney disease Scientific Reports, 2023, v.13 no.1, 13315
    SCIE Scopus dColl.
  • Application of Machine Learning Classification to Improve the Performance of Vancomycin Therapeutic Drug Monitoring Pharmaceutics, 2022, v.14 no.5, 1023
    SCIE Scopus dColl.
  • Multiple-Kernel Support Vector Machine for Predicting Internet Gaming Disorder Using Multimodal Fusion of PET, EEG, and Clinical Features Frontiers in Neuroscience, 2022, v.16, 856510
    SCIE Scopus dColl.
  • Revisiting the analysis pipeline for overdispersed Poisson and binomial data Journal of Applied Statistics, 2022
    SCIE Scopus dColl.
  • A review on recent advances and applications of h-likelihood method Journal of the Korean Statistical Society, 2021, v.50 no.3, 681-702
    SCIE Scopus KCI dColl.
  • Identification of Major Psychiatric Disorders From Resting-State Electroencephalography Using a Machine Learning Approach FRONTIERS IN PSYCHIATRY, 2021, v.12, 707581
    SCIE SSCI Scopus dColl.
  • Associations of personality and clinical characteristics with excessive Internet and smartphone use in adolescents: A structural equation modeling approach Addictive Behaviors, 2020, v.110, 106485
    SCIE SSCI Scopus dColl.
  • Clustering with varying risks of false assignments in discrete latent variable model Statistical Methods in Medical Research, 2020, v.29 no.10, 2932-2944
    SCIE Scopus dColl.
  • Distinct patterns of Internet and smartphone-related problems among adolescents by gender: Latent class analysis JOURNAL OF BEHAVIORAL ADDICTIONS, 2018, v.7 no.2, 454-465
    SCIE SSCI Scopus dColl.
  • Effects of Internet and Smartphone Addictions on Depression and Anxiety Based on Propensity Score Matching Analysis INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2018, v.15 no.5
    SCIE SSCI Scopus dColl.
  • Urinary Exosomal and cell-free DNA Detects Somatic Mutation and Copy Number Alteration in Urothelial Carcinoma of Bladder Scientific Reports, 2018, v.8 no.1, 14707
    SCIE Scopus dColl.
  • Comprehensive landscape of subtype-specific coding and non-coding RNA transcripts in breast cancer ONCOTARGET, 2016, v.7 no.42, 68851-68863
    SCIE Scopus dColl.
  • One CNV Discordance in NRXN1 Observed Upon Genome-wide Screening in 38 Pairs of Adult Healthy Monozygotic Twins Twin Research and Human Genetics, 2016, 22 FEB 2016, 1-7
    SCIE Scopus dColl.
  • Integration of somatic mutation, expression and functional data reveals potential driver genes predictive of breast cancer survival BIOINFORMATICS, 2015, v.31 no.16, 2607-2613
    SCIE Scopus dColl.
  • Likelihood ratio and score burden tests for detecting disease-associated rare variants Statistical Applications in Genetics and Molecular Biology, 2015, v.14 no.5
    Scopus dColl.
  • Optimal likelihood-ratio multiple testing with application to Alzheimer's disease and questionable dementia BMC MEDICAL RESEARCH METHODOLOGY, 2015, v.15
    SCIE Scopus dColl.
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Courses

  • 2026-1st

    • Basic Probability Theory

      • Subject No 20634Class No 01
      • 2Year ( 3Credit , 3Hour) Tue 2~2 (SCI-) , Fri 3~3 (102)
        • 영문계획안

    • Causal Inference 강의 계획서 상세보기

      • Subject No G18682Class No 01
      • Year ( 3Credit , 3Hour) Tue 3~4 (D106)

    • K-MOOC:Educational Data Science

  • 2025-2nd

  • 2025-1st

    • Basic Probability Theory

      • Subject No 20634Class No 01
      • 2Year ( 3Credit , 3Hour) Tue 5~5 (HAK108) , Thu 6~6 (HAK108)
        • 영문계획안

    • Statistics Internship

      • Subject No 38910Class No 01
      • 4Year ( 9Credit

    • Causal Inference 강의 계획서 상세보기

      • Subject No G18682Class No 01
      • Year ( 3Credit , 3Hour) Tue 2~3 (D109)

    • K-MOOC:Educational Data Science

  • 2024-2nd

    • Analysis of Life Science Data

      • Subject No 32866Class No 01
      • 3Year ( 3Credit , 3Hour) Tue 3~3 (SCI-) , Thu 2~2 (101)
        • 영문계획안

    • Statistics Internship

      • Subject No 38910Class No 01
      • 4Year ( 9Credit

    • Statistics Internship Ⅱ

      • Subject No 38918Class No 01
      • Year ( 3Credit

    • Generalized Linear Models

      • Subject No G11893Class No 01
      • Year ( 3Credit , 3Hour) Tue 5~6 (D109)
        • 영문계획안

    • K-MOOC:Educational Data Science

  • 2024-1st

    • HOKMA Seminar 강의 계획서 상세보기

      • Subject No 11302Class No 15
      • 1Year ( 1Credit Tue 7~7 (ECC)

    • Regression Analysis

      • Subject No 20657Class No 01
      • 2Year ( 3Credit , 3Hour) Tue 5~5 (SCI-) , Thu 6~6 (102)
        • 영문계획안

    • Statistics Internship

      • Subject No 38910Class No 01
      • 4Year ( 9Credit

    • Statistical Consulting & Practice Ⅰ 강의 계획서 상세보기

      • Subject No G11812Class No 01
      • Year ( 3Credit , 3Hour) Tue 1~1 (D106) , Thu 1~1 (D106)

    • Causal Inference 강의 계획서 상세보기

      • Subject No G18682Class No 01
      • Year ( 3Credit , 3Hour) Thu 2~3 (D106)

    • K-MOOC:Educational Data Science

  • 2023-2nd

    • Categorical Data Analysis

      • Subject No 36858Class No 01
      • 4Year ( 3Credit , 3Hour) Tue 3~3 (POSCO261) , Thu 2~2 (POSCO261)
        • 영문계획안

    • Generalized Linear Models

      • Subject No G11893Class No 01
      • Year ( 3Credit , 3Hour) Tue 5~6 (D109)
        • 영문계획안

    • K-MOOC:Educational Data Science

    • Statistics for Data Science 강의 계획서 상세보기

      • Subject No IDS102Class No 01
      • Year ( 3Credit , 3Hour) Sat 3~3 (ECC-)

    • Advanced Statistics for Data Science 강의 계획서 상세보기

      • Subject No IDS107Class No 01
      • Year ( 3Credit , 3Hour) Sat 2~2 (ECC-)

  • 2023-1st

    • HOKMA Seminar 강의 계획서 상세보기

      • Subject No 11302Class No 16
      • 1Year ( 1Credit Tue 7~7 (SCI-)

    • Multivariate Statistical Analysis

      • Subject No 20636Class No 01
      • 4Year ( 3Credit , 3Hour) Tue 6~6 (SCI-) , Thu 4~4 (101)
        • 영문계획안

    • Advanced Linear Models 강의 계획서 상세보기

      • Subject No G11834Class No 01
      • Year ( 3Credit , 3Hour) Tue 2~3 (D108)

    • K-MOOC:Educational Data Science

    • Statistics for Data Science 강의 계획서 상세보기

      • Subject No IDS102Class No 01
      • Year ( 3Credit , 3Hour) Sat 3~3 (ECC-)
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Academic Background

Seoul Nat'l Univ. 이학박사(통계학과)

Seoul Nat'l Univ. 이학사(통계학과)

Work Experience

Director, Center for Future Innovation 2021-02-01 ~ 2023-01-31

Karolinska Institutet 2013-03-18 ~ 2014-02-28

Associate Vice President for Admissions(Admissions Policy) 2026-02-01 ~ 2028-01-31

Associate Dean, HOKMA College of General Education 2025-08-01 ~ 2026-01-31

Department Chair, Statistics 2023-08-01 ~ 2025-07-31

External Awards

The Korean Statistical Society Young Statistician Paper Award (한국통계학회)2016-11-04

List