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Keunbaik Lee
Assistant Professor
School of Public Health
Louisiana State University-Health Sciences Center
1615 Poydras St. Suite 1400
New Orleans, LA 70112
PHONE: (504) 568-6087
FAX: (504) 568-5701
E-MAIL: klee4@lsuhsc.edu
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Degrees
Research Interests
- Generalized Linear Model
- Longitudinal Data Analysis
- Mixture Model
- Bayesian Modeling
Papers
- Lee, M., Lee, K., and Lee, J. (2011). Analysis of longitudinal binary data with nonignorable dropout using shared random effects models. Submitted
- Lee, K. and Daniels, M.J. (2011). Flexible marginalized models for bivariate longitudinal data
with application to causal inference for quality of life data. Submitted
- Lee, K., Daniels, M.J, Joo, Y. and Shorr, R. (2011). Marginalized transition models for the analysis of longitudinal count data with application to two clinical trials. Submitted.
- Liu, X., Wang, K., and Lee, K. (2011). Association of standardized estimated glomerular filtration rate with
the prevalence of hypertension among adults in the United States. To appear in Journal of Human Hypertension.
- Lee, K., Kang, S., Liu, X. and Seo, D. (2011). Likelihood-based approach for analysis of longitudinal nominal data using marginalized random effects models.
Vol. 38, 1577-1590. Journal of Applied Statistics.
- Yoo, J. K. and Lee, K. (2011). Model-free predictor tests in survival regression through sufficient dimension reduction. Vol. 17, 433-444. Lifetime Data Analysis.
- Lee, K., Joo, Y., Song, J. J. and Harper, D. (2011). Analysis of zero-inflated clustered count data: a marginalized model
approach. Computational Statistics & Data Analysis. Vol. 55, 824-837.
- Yoo, J. K., Lee, K., and Wu, S. (2010). On the extension of sliced average variance estimation to multivariate response. Statistical Methods and Applications. Vol. 19, 529-540.
- Lee, K., Daniels, M.J., and Sargent, D. (2010). Causal effects of treatment for informative missing data due to progression/death. Journal of the American Statistical Association. Vol. 105, 912-929.
- Lee, K. and Mercante, D. (2010). Longitudinal nominal data analysis using marginalized models. Computational Statistics & Data Analysis. Vol. 54, 208-218.
- Joo, Y., Brumback, B., Lee, K., Yun, S., Kim, K., and Joo, C. (2009). Clustering of temporal profiles using a Bayesian logistic mixture model: analyzing groundwater level data to understand the characteristics of urban groundwater recharge.
Journal of Agricultural, Biological, and Environmental Statistics. Vol. 14, 356-373 .
- Lee, K., Joo, Y., Yoo, J.K., and Lee, J.B. (2009). Marginalized random effects models for multivariate longitudinal binary data. Statistics in Medicine. Vol. 28, 1284-1300
- Joo, Y., Kim, D., Lee, K., Yun, S., Kim, K., and Mercante, D. (2009). "Estimation of anthropogenic pollution using a Bayesian contamination model: An application to fractured bedrock groundwater from Han River Watershed, South Korea". Environmetrics. Vol. 20, 221-234.
- Lee, K. and Daniels, M. (2008). Marginalized models for longitudinal ordinal data with application to quality of life studies". Statistics in Medicine. Vol. 27, 4359-4380
- Joo, Y., Lee, K., and Jung. H. (2008). Estimation of interval censored regression spline model with variance function. Journal of the Korean Data and Information Science Society, Vol. 20, 89-96.
- Lee, K., and Daniels, M. (2007). A class of Markov models for longitudinal ordinal data. Biometrics, Vol. 63, 1060-1067.
- Joo, Y., Lee, K., Min, J., Yun, S., and Park, T. (2007). Logistic mixture of multivariate regressions for analysis of water quality impacted by agrochemicals. Environmetrics, Vol. 18, 499-514.
- Joo, Y., Casella, G., Booth, J., Lee, K., and Enkemann, S. (2007). Normalization of dye bias in microarray data using the mixture of splines model,
Statistical Applications in Genetics and Molecular Biology, Vol. 6, Issue 1, Article 2.
- Lee, I., Kim, D., and Lee, K. (1999). Bayesian methods for combining results from different experiments. The Korean Communications in Statistics, Vol. 6, 181-191.
Teaching
Vita