Bayesian survival data analysis (with Youngchul Park)
Data analysis when outcome and covariates are both missing (with Hye-ri Lee)
Generalizability in survival analysis (with Jeongjae Choi and Eunjeong Kim)
Estimation of heterogeneous treatment effect in competing risks data (with Jaesung Park)
Investigation of performance of random forests and XGboost (with Hyunwoo Kim, Wonjun Jeong and Somin Kim)
Subgroup analysis for observational data (with Hoeun Lee)
L2-Boosting with generalized linear model (with Sangil Yoon)
Deep learning with causal inference (with Taejin Hwang)