@article{suk2025rethinking, title={Rethinking Item Fairness Using Single World Intervention Graphs},
author={Suk, Youmi and Lyu, Weicong},
year={2025},
publisher={OSF} }
Causal mediation and functional outcome analysis with process data
@misc{suk_park_2025, title={Causal Mediation and Functional Outcome Analysis with Process Data},
url={osf.io/preprints/psyarxiv/xhwv4_v1},
DOI={10.31234/osf.io/xhwv4_v1},
publisher={PsyArXiv},
author={Suk, Youmi and Park, Chan},
year={2025},
month={Jan} }
Fair and robust estimation of heterogeneous treatment effects for optimal policies in multilevel studies
@article{suk2024fair, 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={2024},
publisher={Center for Open Science} }
Methods
Using generative AI for sequential data generation in Monte Carlo simulation studies
Journal of Educational and Behavioral Statistics, In Press
@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},
publisher={OSF} }
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} }