Longitudinal nominal data analysis using marginalized models. - Keunbaik Lee; Donald Mercante (Comput. Stat. Data Anal., 2010)

On the extension of sliced average variance estimation to multivariate regression. - Jae Keun Yoo; Keunbaik Lee; Seongho Wu (Stat. Methods Appl., 2010)

Analysis of zero-inflated clustered count data: A marginalized model approach. - Keunbaik Lee; Yongsung Joo; Joon Jin Song; Dee Wood Harper (Comput. Stat. Data Anal., 2011)

Modeling the random effects covariance matrix for generalized linear mixed models. - Keunbaik Lee; Jung Bok Lee; Joseph Hagan; Jae Keun Yoo (Comput. Stat. Data Anal., 2012)

Bayesian Cholesky factor models in random effects covariance matrix for generalized linear mixed models. - Keunbaik Lee; Jae Keun Yoo (Comput. Stat. Data Anal., 2014)

Analysis of long series of longitudinal ordinal data using marginalized models. - Keunbaik Lee; Insuk Sohn; Donguk Kim (Comput. Stat. Data Anal., 2016)

ARMA Cholesky factor models for the covariance matrix of linear models. - Keunbaik Lee; Changryong Baek; Michael J. Daniels (Comput. Stat. Data Anal., 2017)

Dimension test approach of heteroscedasticity in the linear model. - Keunbaik Lee; Hyejin Song; Jae Keun Yoo (Commun. Stat. Simul. Comput., 2017)

Marginalized models for longitudinal count data. - Keunbaik Lee; Yongsung Joo (Comput. Stat. Data Anal., 2019)

Analysis of multivariate longitudinal data using ARMA Cholesky and hypersphere decompositions. - Keunbaik Lee; Chang-Hoon Lee; Min-Sun Kwak; Eun Jin Jang (Comput. Stat. Data Anal., 2021)

Robust modeling of multivariate longitudinal data using modified Cholesky and hypersphere decompositions. - Anbin Rhee; Min-Sun Kwak; Keunbaik Lee (Comput. Stat. Data Anal., 2022)

Multivariate robust linear models for multivariate longitudinal data. - Keunbaik Lee; Jongwoo Choi; Eun Jin Jang; Dipak Dey (J. Multivar. Anal., 2025)

Robust Bayesian cumulative probit linear mixed models for longitudinal ordinal data. - Kuo-Jung Lee; Ray-Bing Chen; Keunbaik Lee (Comput. Stat., 2025)