PublicationS
Journal Publications
Kim, K., S. Kang*, and S. H. Chiou* (2024). Fitting Quantile Regression Model for Residual Life with R Package qris. The R journal, Accepted.
Bae, W., D. Choi, J. Yan, and S. Kang* (2024). A General Model-checking Procedure for Semiparametric Accelerated Failure Time Models. Statistics and Computing, 34, 117, https://doi.org/10.1007/s11222-024-10431-7.
Kim, S., Y. Choi, S. Kang*, and Korea HIV/AIDS Cohort Study (2024). Smoothed Quantile Residual Life Regression Analysis with Application to the Korea HIV/AIDS Cohort Study. BMC Medical Research Methodology, 24, 44, https://doi.org/10.1186/s12874-024-02159-9.
Kim, K., D. J. Caplan, and S. Kang* (2023). Smoothed quantile regression for censored residual life. Computational Statistics, 38, 1001-1022 https://doi.org/10.1007/s00180-022-01262-z.
Son, D., S. Choi, and S. Kang* (2023). Smoothed Quantile Regression Analysis of Competing Risks for Stratified Case-cohort Data. Journal of Statistical Computation and Simulation, 93(8), 1225-1243.
Seo, B. and S. Kang* (2023). Accelerated Failure Time Modeling via Nonparametric Scale Mixtures. Biometrics, 79(1), 165-177.
Hwang, S., H. Oh, R. M, S. Kang, and H. Kim (2022). Association of periodontitis, missing teeth, and oral hygiene behaviors with the incidence of hypertension in middle-aged and older adults in Korea: A 10-year follow-up study. Journal of Periodontology, 93(9), 1283-1293.
Park, J.-Y., J. Yoo, J. Jeon, J. Kim*, and S. Kang* (2022). Proton Pump Inhibitors and Risk of Cardiovascular Disease: A Self-Controlled Case Series Study. The American Journal of Gastroenterology 117(7), 1063–1071.
Kim, K., J. Ko, and S. Kang* (2021). Comparison of Variance Estimation Methods in Semiparametric Accelerated Failure Time Models for Multivariate Failure Time Data. Japanese Journal of Statistics and Data Science 4, 1179–1202.
Lu, T.-s., S. Kang*, and H. Zhou (2020). Semiparametric accelerated failure time modeling for multivariate failure times under multivariate outcome-dependent sampling designs. Statistics and Its Interface 13(3), 373–383.
Caplan, D., Y. Li, W. Wang, S. Kang, L. Marchini, H. Cowen, and J. Yan (2019). Dental Restoration Longevity among Geriatric and Special Needs Patients. JDR Clinical & Translational Research 4(1), 41– 48.
Choi, S., S. Kang, and X. Huang (2018). Smoothed quantile regression analysis of competing risks. Biometrical Journal 60(5), 934–946.
Kang, S. and K. Kim* (2018). Accelerated Failure Time Models for Right Censored Failure Time Data. Journal of the Korean Data & Information Science Society 29(6), 1365–1379.
Kim, S. H., S. Kang, and M.-K. Song (2018). Intensity of Care at the End of Life Among Older Adults in Korea. Journal of Palliative Care 33(1), 47–52.
Kang, S.* (2017). Fitting semiparametric accelerated failure time models for nested case–control data. Journal of Statistical Computation and Simulation 87(4), 652–663.
*: corresponding author
Submitted / Under ReviSION / Archieved
Kim, S., Y. Cho, H. Ki, S. Park, D. Oh, S. Lee, Y. Cho, J. Kim, W. Lee, J. Park*, I. Jin*, and S. Kang* (2024+). Improved Mean Field Estimates of GEMS AOD L3 Product: Using Spatio-temporal Variability. https://doi.org/10.5194/egusphere-2024-604
Oh, S., H. Lee, S. Kang, and B. Seo (2024+). Adaptive Accelerated Failure Time modeling with a Seimiparametric Skewed Error.
Choi, K., and S. Kang* (2024+). Efficient Case-Cohort Design using Balanced Sampling.
Kim, G., J. Park, and S. Kang* (2024+). Deep Neural Network Based Accelerated Failure Time Models using Rank Loss. arXiv preprint arXiv:2206.05974.
Kim, R. S., S. Kang, M. Park, and I. Kim (2024+). Data integration using aggregate statistics from big data and survey: second-order delta-method and bootstrap inference based on Mosteller estimator.