아래와 같이 초청특강을 개최하오니 많은 참석 바랍니다.

1. 일시 : 2025년 12월 22일(월), 오후 4시~

2. 장소 : 통계학과 스마트강의실 (자연대연구실험동 222호)

3. 연사 : 송성호 교수 (Division of Statistics and Data Science, Univ. of Cincinnati)

4. 연제 : Multilevel Bayesian Joint Model of Longitudinal and Recurrent Outcomes

Abstract

Joint modeling has been a useful strategy for incorporating latent associations between different types of outcomes simultaneously, often focusing on a longitudinal continuous outcome characterized by a Linear Mixed Effect (LME) sub-model with a binary process, which is commonly specified by a Generalized linear Mixed Model (GLMM) under hierarchically structured medical data. In this talk, we propose a multilevel joint model that encompasses LME and GLMM sub-models through a Bayesian approach. Motivated by the need for timely detection of pulmonary exacerbations and characterization of irregularly observed lung function measurements in people living with cystic fibrosis (CF) receiving care across multiple centers, we apply the model to data arising from the US CF Foundation Patient Registry.