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Sang Kyu Lee

Assistant Professor
Konkuk University
sangkyulee (at) konkuk.ac.kr



Publications

[Google Scholar]

* denotes equal contribution; ✉ denotes corresponding author
underline denotes students whom I advised/co-advised

Preprints/Submitted Papers

  1. Lee, S. K., Zhang, T., Hong, H. G.*, and Weng, H.*
    arXiv (2025+)
  2. Lee, S. K., Loftfield, E., Hong, H. G.*, and Weng, H.*
    arXiv (2024+), revision invited from Electronic Journal of Statistics
  3. Xia, F.*, Lee, S. K.*, Kim, S., Blum, K., Hong, H. G., Canchola, A. J. and Kim, M.-O.
    submitted (2025+), revision invited from Biometrics

Published Papers (Statistical Methods, Theories, and Software)

  1. Lee, S. K., Kim, S., Kim, M.-O., Grantz, K. L., and Hong, H. G.
    Biostatistics (2025)
  2. Lee, S. K., Hong, H. G., and Kim, H.-M.
    Journal of Korean Statistical Society (2025)
  3. Zhao, J., Kim, Y.-K., Jang, Y.-H., Chang, J. H., Lee, S. K., and Kim, H.-M.
    SoftwareX (2024)
  4. Chang, J. H., Lee, S. K., and Kim, H.-M.
    Stat (2023)
  5. Lee, E. R., Park, S., Lee, S. K., and Hong, H. G.
    Lifetime Data Analysis (2023)
  6. Lee, S. K., and Kim, H.-M.
    Communications for Statistical Applications and Methods (2023)
  7. Lee, S. K., Chang, J. H., and Kim, H.-M.
    Statistics (2021)
  8. Yang, K., Lee, S. K., Zhao, J., and Kim, H.-M.
    R Journal (2021)
  9. Zhao, J., Lee, S. K., and Kim, H.-M.
    Communications for Statistical Applications and Methods (2019)

Published Papers (Collaborative Applications)

  1. Mendez, K. J. W.*, Lee, S. K.*, Dagnall, C., Lai, T.-P., Katki, H., Spellman, S. R., Stewart, V., Aviv, A., Gadalla, S. M., and Hong, H. G.
    submitted (2025+), revision submitted to GeroScience
  2. Abar, L., Steele, E. M., Lee, S. K., Kahle, L., Moore, S. C., Watts, E., Matthews, C., Herrick, K., Hall, K. D., O’Connor, L. E., Freedman, N. D., Sinha, R., Hong, H. G., and Loftfield, E.
    PLOS Medicine (2025)
  3. Mattia, A., Thompson, A., Lee, S. K., Hong, H. G., Green, W. H., and Cognetta Jr, A. B.
    Journal of the American Academy of Dermatology (2024)

Statistical Software

  1. Maintainer
    An R function for a regional quantile regression model to screening features with ultrahigh-dimensional data
  2. Maintainer
    An R package for an asymptotically efficient estimator for the Frechet distribution
  3. Maintainer
    An R package for estimating and fitting various high-dimensional partial linear models
  4. Maintainer
    An R package for estimating the disparity between a majority group and a minority group based on the extended model of the Peters-Belson method
  5. Author
    An R package for estimating asymptotically efficient closed-form estimators and providing the goodness of fit, estimates, plots and etc
  6. Maintainer
    An R package for fitting some new EM-Type estimation methods for the Heckman selection model
  7. Maintainer
    An R package for fitting sample selection models for discrete response variables