@article{suk2026generative, title={Generative AI-based Monte Carlo simulation for method evaluation using synthetic multilevel data},
author={Suk, Youmi and Pan, Chenguang and Xiao, Weixuan},
year={2026},
DOI={10.48550/arXiv.2605.05752},
publisher={arXiv} }
Estimating optimal dynamic treatment regimes for personalized education: A tutorial and applications with machine learning
2026
Chenguang Pan, Yuxuan Li, Thomas Harris, Youmi Suk
Using response process data to measure test-taking effort in students receiving extended time accommodations
2026
Youmi Suk, Yuxin Cai, Benjamin J. Lovett
A comparison study of synthetic data generation for series data
The 2026 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026), 2026
Sinmi Akindele, Youmi Suk, Ke Yang
Identifying causes of test unfairness: Manipulability and separability
@article{suk2026identifying, title={Identifying causes of test unfairness: Manipulability and separability},
author={Suk, Youmi and Lyu, Weicong},
year={2026},
journal={arXiv},
DOI={10.48550/arXiv.2601.13449} }
Learning feasible optimal treatment regimes for personalized decision-making
@article{suk2026fair, title={Fair and Robust Estimation of Heterogeneous Treatment Effects for Optimal Policies in Multilevel Studies},
author={Suk, Youmi and Park, Chan and Pan, Chenguang and Kim, Kwangho},
year={2026},
journal={Multivariate Behavioral Research},
DOI={10.1080/00273171.2026.2669081} }
Rethinking item fairness using single world intervention graphs
Journal of Educational and Behavioral Statistics, 2026
@article{suk2026rethinking, title={Rethinking Item Fairness Using Single World Intervention Graphs},
author={Suk, Youmi and Lyu, Weicong},
year={2026},
journal={Journal of Educational and Behavioral Statistics},
DOI={10.3102/10769986251415570} }
Causal mediation and functional outcome analysis with process data
@article{suk2026causal, title={Causal Mediation and Functional Outcome Analysis with Process Data},
DOI={10.1017/psy.2026.10087},
journal={Psychometrika},
author={Suk, Youmi and Park, Chan},
year={2025},
volume={91},
number={2},
pages={424-444} }
Using generative AI for sequential data generation in Monte Carlo simulation studies
Journal of Educational and Behavioral Statistics, 2025
@article{suk2025using, title={Using Generative AI for Sequential Data Generation in Monte Carlo Simulation Studies},
author={Suk, Youmi and Pan, Chenguang and Yang, Ke},
year={2025},
journal={Journal of Educational and Behavioral Statistics},
DOI={10.3102/10769986251397559} }
Evidence factors in fuzzy regression discontinuity designs with sequential treatment assignments
@article{suk2023fuzzy, title={Fuzzy regression discontinuity designs with multiple control groups under one-sided noncompliance: Evaluating extended time accommodations},
author={Suk, Youmi and Kim, Yongnam},
journal={Journal of Educational and Behavioral Statistics},
pages={10769986241268902},
year={2023},
publisher={SAGE Publications Sage CA: Los Angeles, CA} }
Evaluating intersectional fairness in algorithmic decision making using intersectional differential algorithmic functioning
Journal of Educational and Behavioral Statistics, 50(5), 833-862, 2024
@article{lyu2023estimating, title={Estimating heterogeneous treatment effects within latent class multilevel models: A bayesian approach},
author={Lyu, Weicong and Kim, Jee-Seon and Suk, Youmi},
journal={Journal of Educational and Behavioral Statistics},
volume={48},
number={1},
pages={3--36},
year={2023},
publisher={Sage Publications Sage CA: Los Angeles, CA} }
Tuning random forests for causal inference under cluster-level unmeasured confounding
@article{suk2023tuning, title={Tuning random forests for causal inference under cluster-level unmeasured confounding},
author={Suk, Youmi and Kang, Hyunseung},
journal={Multivariate Behavioral Research},
volume={58},
number={2},
pages={408--440},
year={2023},
publisher={Taylor \& Francis} }
Regression discontinuity designs with an ordinal running variable: evaluating the effects of extended time accommodations for English language learners
Journal of Educational and Behavioral Statistics, 2022
Youmi Suk, Peter M. Steiner, Jee-Seon Kim, Hyunseung Kang
@article{suk2022regression, title={Regression discontinuity designs with an ordinal running variable: Evaluating the effects of extended time accommodations for english-language learners},
author={Suk, Youmi and Steiner, Peter M and Kim, Jee-Seon and Kang, Hyunseung},
journal={Journal of Educational and Behavioral Statistics},
volume={47},
number={4},
pages={459--484},
year={2022},
publisher={SAGE Publications Sage CA: Los Angeles, CA} }
Robust machine learning for treatment effects in multilevel observational studies under cluster-level unmeasured confounding
@article{suk2021hybridizing, title={Hybridizing machine learning methods and finite mixture models for estimating heterogeneous treatment effects in latent classes},
author={Suk, Youmi and Kim, Jee-Seon and Kang, Hyunseung},
journal={Journal of Educational and Behavioral Statistics},
volume={46},
number={3},
pages={323--347},
year={2021},
publisher={Sage Publications Sage CA: Los Angeles, CA} }
Applications
Smoking status, nicotine medication, vaccination, and COVID-19 hospital outcomes: Findings from the COVID EHR Cohort at the University of Wisconsin (CEC-UW) study
@article{piasecki2023smoking, title={Smoking status, nicotine medication, vaccination, and COVID-19 hospital outcomes: findings from the COVID EHR cohort at the university of wisconsin (CEC-UW) study},
author={Piasecki, Thomas M and Smith, Stevens S and Baker, Timothy B and Slutske, Wendy S and Adsit, Robert T and Bolt, Daniel M and Conner, Karen L and Bernstein, Steven L and Eng, Oliver D and Lazuk, David and others},
journal={Nicotine and Tobacco Research},
volume={25},
number={6},
pages={1184--1193},
year={2023},
publisher={Oxford University Press US} }
Relations of current and past cancer with severe outcomes among 104,590 hospitalized COVID-19 patients: The COVID EHR cohort at the University of Wisconsin
Cancer Epidemiology, Biomarkers & Prevention, 2023
@article{nolan2023relations, title={Relations of current and past cancer with severe outcomes among 104,590 hospitalized COVID-19 patients: the COVID EHR cohort at the University of Wisconsin},
author={Nolan, Margaret B and Piasecki, Thomas M and Smith, Stevens S and Baker, Timothy B and Fiore, Michael C and Adsit, Robert T and Bolt, Daniel M and Conner, Karen L and Bernstein, Steven L and Eng, Oliver D and others},
journal={Cancer epidemiology, biomarkers \& prevention},
volume={32},
number={1},
pages={12--21},
year={2023},
publisher={AACR} }
The first 20 months of the COVID-19 pandemic: mortality, intubation and ICU rates among 104,590 patients hospitalized at 21 United States health systems
@article{fiore2022first, title={The first 20 months of the COVID-19 pandemic: Mortality, intubation and ICU rates among 104,590 patients hospitalized at 21 United States health systems},
author={Fiore, Michael C and Smith, Stevens S and Adsit, Robert T and Bolt, Daniel M and Conner, Karen L and Bernstein, Steven L and Eng, Oliver D and Lazuk, David and Gonzalez, Alec and Jorenby, Douglas E and others},
journal={PloS one},
volume={17},
number={9},
pages={e0274571},
year={2022},
publisher={Public Library of Science San Francisco, CA USA} }
Evaluating the effects of school club activities on collaborative competency using random forests for causal inference
@article{article, author = {Suk, Youmi and Lee, Jinsil},
year = {2021},
month = {11},
pages = {55-78},
title = {Evaluating the Effects of School Club Activities on Collaborative Competency Using Random Forests for Causal Inference},
volume = {22},
journal = {Survey Research},
doi = {10.20997/SR.22.4.3} }
Auditory-perceptual features of speech in children and adults with Down syndrome: a speech profile analysis
Journal of Speech, Language, and Hearing Research, 2021
Raymond D. Kent, Julie Eichhorn, Erin M. Wilson, Youmi Suk, Daniel M. Bolt, Houri K. Vorperian
@article{kent2021auditory, title={Auditory-perceptual features of speech in children and adults with Down syndrome: A speech profile analysis},
author={Kent, Raymond D and Eichhorn, Julie and Wilson, Erin M and Suk, Youmi and Bolt, Daniel M and Vorperian, Houri K},
journal={Journal of Speech, Language, and Hearing Research},
volume={64},
number={4},
pages={1157--1175},
year={2021},
publisher={ASHA} }
Review of the book Using Classification and Regression Trees: A Practical Primer, by X. Ma
@article{suk2019review, author = {Suk, Youmi and Lyu, Weicong and Steiner, Peter M},
title = {Review of the book *Using Classification and Regression Trees: A Practical Primer*, by X. Ma},
journal = {Teachers College Record},
year = {2019},
month = {August},
url = {https://www.tcrecord.org},
note = {ID Number: 23015} }
Measuring the heterogeneity of treatment effects with multilevel observational data. In Wiberg, M., Culpepper, S., Janssen, R., Gonzalez, J., & Molenaar, D (Eds.)
Quantitative psychology research: The 83rd annual meeting of the psychometric society, 2019
@inproceedings{suk2019measuring, title={Measuring the heterogeneity of treatment effects with multilevel observational data},
author={Suk, Youmi and Kim, Jee-Seon},
booktitle={Quantitative Psychology: 83rd Annual Meeting of the Psychometric Society, New York, NY 2018},
pages={265--277},
year={2019},
organization={Springer} }
Specifying multilevel mixture selection models in propensity score analysis. In Wiberg, M., Culpepper, S., Janssen, R., Gonzalez, J., & Molenaar, D (Eds.)
Quantitative psychology research: The 83rd annual meeting of the psychometric society, 2019
@inproceedings{kim2019specifying, title={Specifying Multilevel Mixture Selection Models in Propensity Score Analysis},
author={Kim, Jee-Seon and Suk, Youmi},
booktitle={Quantitative Psychology: 83rd Annual Meeting of the Psychometric Society, New York, NY 2018},
pages={279--291},
year={2019},
organization={Springer} }