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Saebom Jeon

glca: An R Package for Multiple-Group Latent Class Analysis
2022 · Youngsun Kim, Saebom Jeon, et al. · Applied Psychological Measurement · 48
Latent Class Analysis for Multiple Discrete Latent Variables: A Study on the Association Between Violent Behavior and Drug-Using Behaviors
2017 · Saebom Jeon, Jungwun Lee, et al. · Structural Equation Modeling A Multidisciplinary Journal · 22
Dysfunctional Beliefs and Attitudes about Sleep-6 (DBAS-6): Data-driven shortened version from a machine learning approach
2024 · Hyeontae Jo, Hong Jun Jeon, et al. · Sleep Medicine · 17
Insomnia, Pain, and Pain-Related Dysfunctional Beliefs about Sleep among Patients with Cancer
2025 · Seockhoon Chung, Soobeen Lee, et al. · Cancer Research and Treatment · 14
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Data-driven shortened Insomnia Severity Index (ISI): a machine learning approach
2024 · Hyeontae Jo, Myna Lim, et al. · Sleep And Breathing · 14
Disentangling climate’s dual role in dengue dynamics: A multiregion causal analysis study
2025 · Olive R. Cawiding, Saebom Jeon, et al. · Science Advances · 13
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Structural equation modeling for hypertension and type 2 diabetes based on multiple SNPs and multiple phenotypes
2019 · Saebom Jeon, Ji-yeon Shin, et al. · PLoS ONE · 12
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Latent Class Analysis for Repeatedly Measured Multiple Latent Class Variables
2020 · Saebom Jeon, Tae Seok Seo, et al. · Multivariate Behavioral Research · 6
Cancer-related Dysfunctional Beliefs and Attitude about Sleep-6 (C-DBAS-6): a practical and accurate shortened version using XGBoost and SymScore
2025 · Olive R. Cawiding, Hyeontae Jo, et al. · Sleep and Biological Rhythms · 5
Machine-Learning Validated Short Form of the Korean Version of the Sleep-Related Behaviors Questionnaire-10 Items: SRBQ-10
2025 · Saebom Jeon, Eui Min Jeong, et al. · Behavioral Sleep Medicine · 4
On log-linear modeling for an incomplete two-way contingency table with one variable subject to nonresponse
2018 · Seongyong Kim, Saebom Jeon, et al. · Communications in Statistics - Simulation and Computation · 4
Bayesian multivariate latent class profile analysis: Exploring the developmental progression of youth depression and substance use
2021 · Jung Wun Lee, Hwan Chung, et al. · Computational Statistics & Data Analysis · 3
Joint latent class analysis for longitudinal data: an application on adolescent emotional well-being
2020 · Eun Ah Kim, Hwan Chung, et al. · Communications for Statistical Applications and Methods · 3
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A Study on the Population Structure of Democratic People’s Republic of Korea
2015 · Saebom Jeon, Seong Eun Kim, et al. · Communications for Statistical Applications and Methods · 3
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Analysis on Corporate Credit Scoring Models and Key Financial Variables Using Machine Learning
2025 · Saebom Jeon, Tae Yeon Kwon · Asian Review of Financial Research · 2
Digital Media Usage Trends Among Children Aged 8–11 Years Before and After the COVID-19
2025 · Kyungjun Kim, Saebom Jeon, et al. · Psychiatry Investigation · 2
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N-point modified exponential model for household projections in Korea using multi-point register-based census data
2024 · Saebom Jeon, Tae Yeon Kwon · Communications for Statistical Applications and Methods · 2
Heuristic Lee-Carter Model for Long-term Marital Rate Prediction
2018 · Yoonrang Cho, Keewhan Kim, et al. · The Korean Data Analysis Society · 2
A Study on Adjustment of Transition Rates between Marital Status
2018 · Yoonrang Cho, Ki Whan Kim, et al. · The Korean Data Analysis Society · 2
Penalized Empirical Likelihood for Doubly Robust Causal Inference under Contamination in High Dimensions
2025 · Lee, Byeonghee, Kang, Sangwook, et al. · arXiv (Cornell University) · 1
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A Study on the Health Adjusted Life Expectancy in Korea using Microdata of National Health Insurance Service
2022 · Keewhan Kim, Saebom Jeon · 한국인구학 · 1
Variable-based missing mechanism for an incomplete contingency table with unit missingness
2018 · Saebom Jeon, Tae Yeon Kwon, et al. · Statistics & Probability Letters · 1
A sample size calibration approach for thep-value problem in huge samples
2018 · Yousung Park, Saebom Jeon, et al. · Communications for Statistical Applications and Methods · 1
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Heuristic Li-Lee Model for Long-term Prediction of Regional Headship Rate
2018 · Seonyong Kim, Keewhan Kim, et al. · The Korean Data Analysis Society · 1
A study on the violent crime and control factors in Korea
2016 · Tae Yeon Kwon, Saebom Jeon · Journal of the Korean Data and Information Science Society · 1
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Works count: 55
Citation count: 186
H-index: 7
I10-index: 7
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