Outline

Organizer: Institute of Statistical Science (ISS), Academia Sinica
Research Center for Medical and Health Data Science, the Institute of Statistical Mathematics (ISM)
Mode: In-person (no live stream)
Chairs: Ming-Chung Chang (ISS) and Takeshi Emura (ISM)
Address: Institute of Statistical Science (ISS), Academia Sinica
No. 128, Academia Road Section 2, Nankang, Taipei, Taiwan 11529

Abstract

  In the rapidly evolving field of statistical sciences, the International Workshop on Statistical and Data Science - Survival and Correlated Data - stands as a beacon of innovation and collaboration. This exclusive event offers an unparalleled opportunity for leading researchers and practitioners to share groundbreaking ideas, and foster partnerships. Set against the backdrop of the prestigious Institute of Statistical Science (ISS) at Academia Sinica, the workshop promises an intellectually stimulating environment where each session is designed to provoke thought, inspire action, and pave the way for future advancements. By bringing together eminent speakers from across the globe, including the University of North Carolina at Chapel Hill, Harvard University, Pukyong National University, Kurume University, we aim to catalyze significant strides in Medical and Health Data Science and beyond. The workshop is not just an event but a milestone in the journey towards harnessing the full potential of statistical science to solve real-world challenges, making it an essential rendezvous for anyone vested in the future of the world.

Program

10:30 - 12:00 Session I : Survival Analysis for Medical and Health Data I

  Chair: Dongdong Li
     

Speaker1 (20 min)	Feng-Chang Lin	Department of Biostatistics, University of North Carolina at Chapel Hill, USA Title: Analysis of survival data with cure fraction and variable selection: A pseudo-observations approach
Speaker2 (20 min)	Kyoji Furukawa	Biostatistics Center, Kurume University, Japan Title: Survival analysis using generalized linear mixed models
Speaker3 (20 min)	IL-Do Ha	Department of Statistics & Data Science, Pukyong National University, South Korea Title: A non-parametric mixture modelling approach for clustered survival data
Speaker4 (20 min)	Jong-Min Kim	Statistics Discipline, University of Minnesota-Morris, USA Title: Reinforcement learning for personalized treatment policies in the context of high-dimensional missing and censored data

13:10 - 14:20 Session II : Survival Analysis for Medical and Health Data II

  Chair: Ming-Chung Chang
     

Speaker1 (20 min)	Dongdong Li	Harvard Medical School; Harvard School of Public Health, USA Title: Distributed Regression Analysis with A Software Package in SAS
Speaker2 (20 min)	JiHoon Kwon	Department of Statistics & Data Science, Pukyong National University, South Korea Title: Copula-based deep learning survival modelling approach
Speaker3 (20 min)	Kosuke Nakazono	Research Center for Medical and Health Data Science, The Institute of Statistical Mathematics, Japan Title: Computation of the Mann-Whitney effect under parametric survival copula models

14:35 - 15:25 Session III : Statistical methods for big and correlated data

  Chair: Takeshi Emura
     

Speaker1 (20 min)	Sheng-Zhan Hua	Institute of Statistical Science, Academia Sinica, Taiwan Title: Generalization Error Minimization in Gaussian Processes via Subdata Selection
Speaker2 (20 min)	Li-Hua Peng	Institute of Statistical Science, Academia Sinica, Taiwan Title: Addressing Correlation in Linear Regression: Enhanced SGD with K-Means and Simulated Annealing