Youmi Suk

发表

Hybridizing Machine Learning Methods and Finite Mixture Models for Estimating Heterogeneous Treatment Effects in Latent Classes

Hyunseung Kang, Jee-Seon Kim, Youmi Suk, 2019, Journal of Educational and Behavioral Statistics.

Robust Machine Learning for Treatment Effects in Multilevel Observational Studies Under Cluster-level Unmeasured Confounding

Hyunseung Kang, Youmi Suk, 2020, Psychometrika.

Estimating Heterogeneous Treatment Effects Within Latent Class Multilevel Models: A Bayesian Approach

Jee-Seon Kim, Youmi Suk, Weicong Lyu, 2022, Journal of Educational and Behavioral Statistics.

Auditory-Perceptual Features of Speech in Children and Adults With Down Syndrome: A Speech Profile Analysis.

D. Bolt, H. K. Vorperian, R. Kent, 2021, Journal of speech, language, and hearing research : JSLHR.

Smoking Status, Nicotine Medication, Vaccination, and COVID-19 Hospital Outcomes: Findings from the COVID EHR Cohort at the University of Wisconsin (CEC-UW) Study

M. Fiore, T. Baker, D. Bolt, 2022, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

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

T. Baker, D. Bolt, K. Wilson, 2022, PloS one.

Specifying Multilevel Mixture Selection Models in Propensity Score Analysis

Jee-Seon Kim, Youmi Suk, 2017, Springer Proceedings in Mathematics & Statistics.

Regression Discontinuity Designs With an Ordinal Running Variable: Evaluating the Effects of Extended Time Accommodations for English-Language Learners

Peter M. Steiner, J Kim, Y Suk, 2021 .

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

T. Baker, D. Bolt, K. Wilson, 2022, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.

Tuning Random Forests for Causal Inference under Cluster-Level Unmeasured Confounding

Hyunseung Kang, Youmi Suk, 2020, Multivariate behavioral research.

Robust Machine Learning for Treatment Effects in Multilevel Observational Studies Under Cluster-level Unmeasured Confounding

Hyunseung Kang, Youmi Suk, 2021, Psychometrika.

A Within-Group Approach to Ensemble Machine Learning Methods for Causal Inference in Multilevel Studies

Youmi Suk, 2023, Journal of Educational and Behavioral Statistics.

Random Forests Approach for Causal Inference with Clustered Observational Data.

Jee-Seon Kim, Youmi Suk, Hyunseung Kang, 2020, Multivariate behavioral research.

A Psychometric Framework for Evaluating Fairness in Algorithmic Decision Making: Differential Algorithmic Functioning

K. T. Han, Youmi Suk, 2023, Journal of Educational and Behavioral Statistics.

A Trend Analysis of Academically Resilient Students and School Characteristics Affecting Students’ Academic Resilience in Middle School

Jinsil Lee, Hyun-jeong Park, Youmi Suk, 2016 .

Measuring the Heterogeneity of Treatment Effects with Multilevel Observational Data

Jee-Seon Kim, Youmi Suk, Jee-Seon Kim, 2017, Springer Proceedings in Mathematics & Statistics.

Designing Optimal, Data-Driven Policies from Multisite Randomized Trials

Youmi Suk, Chan Park, 2023, Psychometrika.

Profile Analysis of Elementary School Students’ Smart Device Usage

Young Hoan Cho, Dae Hong Jeong, Youmi Suk, 2017 .