2023

(Lab seminar) [2023-02-22, Seungpil Jung] Self-controlled case series

(Guest seminar) [2023-02-17, Sungil Jo] Bayesian hierarchical model and Dirichlet process priors

(Book seminar) [2023-01-11~03-23] Modern epidemiology

2022

(Book seminar)[2022-10-07~12-28] Explainable AI

(Lab seminar) [2022-10-07, Sangmin Byeon] Latent variable modeling and estimation of average treatment effects using ps

(Lab seminar) [2022-08-24, Hyunman Sim] Job-exposure matrix

(Lab seminar) [2022-08-10, Yeonjin Kim] Immortal time bias

(Lab seminar) [2022-08-03, Hyungwoo Kim] Sufficient Dimension Reduction

(Lab seminar) [2022-08-03, Sangwon Lee] Recent trend for application of deep learning in cancer

(Book seminar)[2022-07-06~08-31] Applied predictive modeling

(Lab seminar) [2022-03-31, Jeho Oh] Clinical Trial

(Lab seminar) [2022-02-24, Nayoung Ha] Joint latent class model

(Lab seminar) [2022-02-10, Jiwoong Yu] Sensitivity analysis for propensity score matching

(Lab seminar) [2022-02-10, Seungpil Jung] Biased coin design & Isotonic regression

(Lab seminar) [2022-02-03, 05-02, Hyerim Noh] Age Period Cohort (APC) analysis

(Lab seminar) [2022-01-25, Jiwoong Yu] Bayesian data analysis

(Lab seminar) [2022-01-28, Hyunman Sim] Review of sensitivity analysis methods for unobserved confounder

2021

(Lab seminar) [2021-12-23, Seungpil Jung] Vaccine safety surveillance

(BK21 seminar) [2021-08-11, Seungpil Jung] Reaction to the COVID-19 Pandemic with Biostatistics

(Lab seminar) [2021-07-29, Jiwoong Yu] Instrumental Variable analysis

(BK21 seminar) [2021-02-10, Seungpil Jung] Mobility data