(M.S.) 1997, Statistics, Kyungpook National University
(B.S.) 1995, Statistics, Kyungpook National University
Experience
2012 – Present, Sungkyunkwan University, Assistant Professor/Associate Professor/Full Professor.
2007 – 2012 Louisiana State University Health Sciences Center Assistant Professor
2011 – 2012 Louisiana Chapter of American Statistical Association, vice president
Research Interest
Longitudinal data analysis, generalized linear models, Bayesian modeling
Research Keyword
categorical data analysis
marginalized model
generalized linear model
Major Research Achievements
Lee, K., Cho, H., Kwak, M.-S and Jang, E. (2020). Estimation of covariance matrix of multivariate longitudinal data using modified Choleksky and hypersphere decompositions. Biometrics, 76, 75-86.
Lee, K., Baek, C., and Daniels, M. J. (2017). ARMA Cholesky factor models for the covariance matrix of linear models. Computational Statistics & Data Analysis, 115, 267-280.
Lee, K., Sohn, I., and Kim, D. (2016). Analysis of long series of longitudinal ordinal data. Computational Statistics & Data Analysis. 94, 363-371.
Lee, K. and Yoo, J. (2014). Bayesian Cholesky factor models in random eects covariance matrix for generalized linear mixed models. Computational Statistics & Data Analysis. 80, 111-116.
Lee, K. and Daniels, M. (2013). Causal inference for bivariate longitudinal quality of life data in presence of death using global odds ratios. Statistics in Medicine. 32, 4275-4284.
Lee, K., Daniels, M., and Joo, Y. (2013). Flexible marginalized models for bivariate longitudinal ordinal data. Biostatistics. 14, 462-476.
Lee, K., Yoo, J. K., Lee, J., and Hagan, J. (2012). Modeling the random effects covariance matrix for the generalized linear mixed models. Computational Statistics & Data Analysis. 56, 1545-1551.
Lee, K., Joo, Y., Song, J. J. and Harper D. (2011). Analysis of zero-inated clustered count data: A marginalized model approach. Computational Statistics & Data Analysis. 55, 824-837.
Lee, K., Daniels, M., and Sargent, D. (2010). Causal eects of treatments for informative missing data due to progression/death. Journal of the American Statistical Association. 105, 912-929.
Lee, K., Joo, Y., Yoo, J. K., and Lee, J. (2009). Marginalized random eects models for multivariate longitudinal binary data. Statistics in Medicine, 28, 1284-1300.
Lee, K. and Daniels, M. (2008). Marginalized models for longitudinal ordinal data with application to quality of life studies. Statistics in Medicine. 27, 4359-4380.
Lee, K. and Daniels, M. (2007). A class of Markov models for longitudinal ordinal data. Biometrics. 63, 1060-1067.
