2025

• Kwon, S., Sim, H., Ko, A., Lee, W., Kim, H., Han, S. H., ... & Lee, W. (2025). Long-term impact of PM2. 5 exposure on diabetic kidney disease patients considering time-dependent medication adjustment. Clinical Kidney Journal, 18(7), sfaf216. 

• Joe, Y.-E., Ha, N.*, Lee, W.*, & Byon, H.-J. (2025). Prediction of Postoperative Pain and Side Effects of Patient-Controlled Analgesia in Pediatric Orthopedic Patients Using Machine Learning: A Retrospective Study. Journal of Clinical Medicine, 14(5), 1459. https://doi.org/10.3390/jcm14051459 

• Yu, J., Zheng, X., Bak, K. Y., Lee, K., & Lee, W. (2025). Calibrating a simulated exposure distribution using measurement error models. Journal of Applied Statistics, 1–13. https://doi.org/10.1080/02664763.2025.2481460 

• Lee, Y. J., Moon, H. W., Choi, M. H., Eun Jung, S., Park, Y. H., Lee, J. Y., ... & Kamen, A. (2025). MRI-based deep learning algorithm for assisting clinically significant prostate cancer detection: a bicenter prospective study. Radiology, 314(3), e232788. 

• Lee, S., & Lee, W. (2025). A Review of Mendelian Randomization: Assumptions, Methods, and Application to Obesity-Related Diseases. Journal of Obesity & Metabolic Syndrome, 34(1), 14. 

• Jeong, B., Lee, S., Ye, S., Lee, D., & Lee, W. (2025). Sensitivity Analysis for Effects of Multiple Exposures in the Presence of Unmeasured Confounding. Biometrical Journal, 67(1), e70033. 

• Yu, J., Kim, C., Oh, J., Tai, A. S., & Lee, W. (2025). On the robustness of truncated negative binomial regression model: application to field epidemiology. Journal of Applied Statistics, 1-19. 

2024

• Lee, S., Jeong, B., Lee, D., & Lee, W. (2024). Sensitivity Analysis for Effects of Multiple Exposures in the Presence of Unmeasured Confounding: Non‐Gaussian and Time‐to‐Event Outcomes. Statistics in Medicine, 43(30), 5996-6025. 

• Kim, Y.*, Lee, W. K., & Lee, W.** (2024). Prediction of low-density lipoprotein cholesterol levels using machine learning methods. Laboratory Medicine, lmad114. 

• Jang H.*, Kim Y.*, Lee D., Joo S., Koo B., Lim S., Lee W.**, & Kim W.**(2024). Outcomes of Various Classes of Oral Antidiabetic Drugs on Nonalcoholic Fatty Liver Disease. JAMA Intern Med.

• Kim, Y. H.*, Kim, Y.*, Ha, N., Cho, J. H., Kim, Y. S., Kang, S. W., ... & Lee W.**, Oh, H. J**. (2024). The effect of dialysis modality on annual mortality: A prospective cohort study. Scientific Reports, 14(1), 14035. 

• Sim, H.*, Lee, S., Kim, B. H., Shin, E., & Lee, W.** (2024). Hypothesis testing in Cox models when continuous covariates are dichotomized: bias analysis and bootstrap-based test. Computational Statistics, 1-21. 

• Lee, S., Park, J. H., & Lee, W. (2024). Sensitivity analysis for unmeasured confounding in estimating the difference in restricted mean survival time. Statistical Methods in Medical Research, 09622802241280782.

• Jo, J., Ha, N., Ji, Y., Do, A., Seo, J. H., Oh, B., Choi, S., Choe, E. K., Lee, W., Son, J. W., Won, S. (2024). Genetic determinants of obesity in Korean populations: exploring genome-wide associations and polygenic risk scores. Briefings in Bioinformatics, 25(5), bbae389.

• Sim, H., Tai, A. S., Lee, W., & Lee, W. (2024). Sensitivity Analysis for Attributable Fraction in the Presence of Unmeasured Confounding. American Journal of Epidemiology, kwae409. 

2023

• Kwon, S. S., Choi, H., Lee, W., Kim, Y., Kim, H. C., & Lee, W. (2023). Reformulating land-use regression method as sign-constrained regularized regressions: Advantages and improvements. Environmental Modelling & Software, 162, 105653. 

• Kwon, S., Kim, Y. C., Kwon, H., Cho, J. H., Kim, C. D., Son, H. E., Jeong, J. C., Jung, I. M., Yoo, K. D., Kim, Y., Lee, W., Lee, J. S., Lee, H., Lim, C. S., Kim, Y. S., Kim, Y. H., & Lee, J. P. (2023). Metformin Use and Long-term Clinical Outcomes in Kidney Transplant Recipients. Am J Kidney Dis. 

• Jung, S., Kim, J. H., Hwang, S. S., Choi, J., & Lee, W. (2023). Modified susceptible-exposed-infectious-recovered model for assessing the effectiveness of non-pharmaceutical interventions during the COVID-19 pandemic in Seoul. J Theor Biol, 557, 111329.

• Choi, M. H., Ha, U. S., Park, Y. H., Hong, S. H., Lee, J. Y., Lee, Y. J., Lee, W., & Jung, S. (2023). Combined MRI and PSA Strategy Improves Biopsy Decisions Compared with PSA Only: Longitudinal Observations of a Cohort of Patients with a PSA Level Less Than 20 ng/mL. Acad Radiol, 30(3), 509-515.

• Lee, N., Kim, Y., Jung, S., Lee, W., Oh, J., Hwang, S. (2023).  Comparing International Computing Systems of COVID-19 Core Indicators and Measures to Improve Usability.  Public Health Weekly Report, 16, 973-99. 

• Kang, D., Lee, E. S., Kim, T. K., Kim, Y. J., Lee, S., Lee, W., Sim, H., Kim, S. Y. (2023). Association with Combined Occupational Hazards Exposure and Risk of Metabolic Syndrome: A Workers' Health Examination Cohort 2012–2021. Safety and Health at Work.

• Byeon, S., & Lee, W. (2023). An Introduction to Causal Mediation Analysis With a Comparison of 2 R Packages. Journal of Preventive Medicine and Public Health, 56(4), 303. 

• Yoon, S. H., Park, S., Jang, S., Kim, J., Lee, K. W., Lee, W., Lee, S., ... & Lee, K. H. (2023). Use of artificial intelligence in triaging of chest radiographs to reduce radiologists’ workload. European Radiology, 1-10. 

• Byeon, S., & Lee, W. (2023). Directed acyclic graphs for clinical research: a tutorial. Journal of Minimally Invasive Surgery, 26(3), 97. 

• Kim, Y., Lee, T., Min, S.-Y., Park, S., Kim, H., & Lee, W. (2023). Development of Prediction Models for Needs and Resources Service Using Big Data Related to Elderly Care. J Health Info Stat, 48(3), 217-225. 

2022

• Lee, S., & Lee, W. (2022). Application of Standardization for Causal Inference in Observational Studies: A Step-by-step Tutorial for Analysis Using R Software. J Prev Med Public Health, 55(2), 116-124.

• Lee, W., Lim, Y. H., Ha, E., Kim, Y., & Lee, W. K. (2022). Forecasting of non-accidental, cardiovascular, and respiratory mortality with environmental exposures adopting machine learning approaches. Environ Sci Pollut Res Int, 29(58), 88318-88329. https://doi.org/10.1007/s11356-022-21768-9 

• Jung, S., Hwang, S. S., Kim, K. N., & Lee, W. (2022). Reaction to the COVID-19 pandemic in Seoul with biostatistics. Infect Dis Model, 7(3), 419-429.

• Yu, J., & Lee, W. (2022). A Critical Review of Propensity Score Matching in Causal Inference. J Health Info Stat, 47(Suppl 1), S9-S19. 

2021

• Benimana, T. D., Lee, N., Jung, S., Lee, W., & Hwang, S. S. (2021). Epidemiological and spatio-temporal characteristics of COVID-19 in Rwanda. Glob Epidemiol, 3, 100058. 

• Lee, W., Lee, J., Woo, S. I., Choi, S. H., Bae, J. W., Jung, S., Jeong, M. H., & Lee, W. K. (2021). Machine learning enhances the performance of short and long-term mortality prediction model in non-ST-segment elevation myocardial infarction. Sci Rep, 11(1), 12886.

• Song H, Yoon SH, Kim J, Kim J, Lee KW, Lee W, Lee S, Kim K, Lee CT, Chung JH, Lee KH. Application of N Descriptors Proposed by the International Association for the Study of Lung Cancer in Clinical Staging. Radiology. 2021 Aug;300(2):450-457 

• Lee KH, Lee S, Park JH, Lee SS, Kim HY, Lee WJ, Cha ES, Kim KP, Lee W, Lee JY, Lee KH. Risk of Hematologic Malignant Neoplasms From Abdominopelvic Computed Tomographic Radiation in Patients Who Underwent Appendectomy. JAMA Surg. 2021 Apr 1;156(4):343-351 

2020

• Lee, J., Lee, W., Lee, Y. J., Sim, H., & Lee, W. K. (2020). Effectiveness of bystander cardiopulmonary resuscitation in improving the survival and neurological recovery of patients with out-of-hospital cardiac arrest: A nationwide patient cohort study. PLoS One, 15(12), e0243757. 

• Jang S, Song H, Shin YJ, Kim J, Kim J, Lee KW, Lee SS, Lee W, Lee S, Lee KH. Deep Learning-based Automatic Detection Algorithm for Reducing Overlooked Lung Cancers on Chest Radiographs. Radiology. 2020 Sep;296(3):652-661