Current Students

• 조계중: 석사 수료

• 조지원:  석박사 6기

• 두영재: 석박사  2기

• 유태영: 학석사 4기

• 도원휘: 석사 4기

• 김수림: 석사 4기

• 신현민: 석사 2기

• 한윤제 석사 2기

• 옥수민 학석박 1기

• 황지연 학석박 1기

Previous Students

• 박사

  •  이명옥 박사 (2012), Louisiana State University Health Sciences Center - New Orleans,  Analysis of longitudinal categorical data with nonignorable dropout using shared random effects models 

  • 김지영 박사 (2018), 성균관대학교,  Bayesian modeling of random effects covariance matrix for longitudinal polytomous data (한양대 의대, 조교수)

• 석사

  • Louisiana State University Health Sciences Center - New Orleans

    1. Yan Gao, MPH (2010): Examing the associations between lifestyle factors and health-related quality of life among prostate cancer survivors.

  • 성균관대학교

    1. 김지영 MS (2013):  Bayesian cumulative logit random effects model for longitudinal ordinal data using modified Cholesky decomposition

    2.  성선아 MS (2013): Autoregressive Cholesky facto model for marginalized random effects model

    3.  유경덕 MS (2014):  Marginalized random effects models for longitudinal nominal data using partial autocorrelation approach

    4.  전주영 MS (2014):  Review and discussion of marginalized random effects models 

    5. 김보옥 MS (2014): Marginalized random effects models for longitudinal binary data using moving average Cholesky decomposition 

    6. 김설화 MS (2014):  Comparison of general random effects covariance matrix for marginalized random effects models 

    7.  진익태 MS (2014): Hurdle model for longitudinal zero-inflated count data analysis 

    8.  경유정 MS (2015):  Bayesian pattern mixture model for longitudinal binary data with nonignorable missingness 

    9.  정회민 MS (2016):  ARMA Cholesky factor models for generalized linear mixed model 

    10.  남상아 MS (2016): Comparison of the covariance matrix for general linear model 

    11. 한은정 MS (2016):  Dynamic linear mixed models with ARMA covariance matrix 

    12.  최지인 MS (2016):  Poisson loglinear mixed model with general random effects covariance matrix 

    13. 성유경 MS (2016): Negative binomial loglinear mixed model with general random effects covariance matrix 

    14. 강다솜 MS (2017):  ARMA Cholesky decompositions for random effects covariance matrix in marginalized random effects models 

    15. 강민경 MS (2017):  Penalized modeling of the covariance matrix for linear models 

    16.  주재웅 MS (2018):  Joint model of longitudinal binary and survival data with general random effects covariance matrix  (University of Florida, 박사과정)

    17. 곽나영 MS (2019):  Comparison study of modeling covariance matrix for multivariate longitudinal data 

    18.  윤단비 MS (2019):  Comparison of AR and ARMA structure for covariance matrix estimation for multivariate longitudinal data 

    19. 이재영 MS (2019):  Bayesian multivariate linear mixed models for multivariate longitudinal data (Virginia Tech University, 박사과정)

    20. 서리브가 MS (2019): Analysis of labor panel data using multivariate regression models

    21. 이안빈 MS (2019): Robust modeling of multivariate longitudinal data using modified Cholesky and hypersphere decomposition (Virginia Tech University, 박사과정)

    22. 김예지 MS (2021):  Comparison study for Bayesian multivariate linear model

    23. 구동현 MS (2021):  An in-depth analysis on Korean tax & finance panel data by using multivariate longitudinal t-linear model

    24. 조영해 MS (2021): 비논문 학위

    25. 김동휘 MS (2021): 비논문 학위

    26. 김동우 MS (2021): 비논문 학위

    27. 이인선 MS (2022): KCYPS panel data analysis using Bayesian multivariate linear model

    28. 김민경 MS (2022): Anaysis of household financial welfare survey data using probit models

    29. 박정주 MS (2023): 비논문 학위(저널 논문: Park, J. and Lee, K. (2022). Analysis of Korean longitudinal study of ageing using Bayesian robust probit linear mixed model. Journal of the Korean Data & Information Science Society, 33 (4), 657-676.

    30. 공하경 MS (2023):  Comparison study of methods on modeling covariance matrix in longitudinal data

    31. 권민지 MS (2023):  Workspace panale survey data analysis using Bayesian cumulative probit linear mixed model

    32. 권용태 MS (2023):  Bayesian marginalized two-part mixed effects model based on generalized gamma distribution

    33. 이지현 MS (2024): 비논문 학위(저널 논문: Lee, J. and Lee, K. (2024).  Comparison study of multivariate linear models for multivariate longitudinal data. Journal of the Korean Data & Information Science Society, 35 (1), 33-45.

    34. 오채영 MS (2024): Analysis of medical panel data using marginalized models

    35. 김소은 MS (2024): 비논문 학위 (University of Connecticut, 박사과정)

    36. 김동우 MS (2024): Analysis of credit ratings of Korean corporate bonds using cumulative logit random effects models

    37. 김보민 MS (2025): 비논문 학위(저널 논문: Kim, B. and Lee, K. (2025). Analysis of medical panel data using multivariate probit linear mixed models.  Journal of the Korean Data & Information Science Society , 36(3), 471-487.

    38. 정연준 MS (2025): 비논문 학위

    39. 이지윤 MS (2025): Analysis of longitudinal zero-inflated count data using overall marginalized hurdle models