Outline

Organizer: Research Center for Medical and Health Data Science, the Institute of Statistical Mathematics (統計数理研究所 医療健康データ科学研究センター)
Mode: In-person
Audience: accept pre-registered participants
Fee: free of charge
Chair: Takeshi Emura (The Institute of Statistical Mathematics, Japan)
Address:
The Institute of Statistical Mathematics
10-3 Midori-cho, Tachikawa, Tokyo 190-8562, Japan
Access & MAP

Registration

Pre-registration is required. Registration deadline is 2023-08-02.

Program

13:05 - 14:20 Session I (Chair: Feng-Chang Lin)

Mengjiao Peng (East China Normal University, China)	Joint mean variance screening for ultrahigh dimensional categorical predictors with multiple survival outcomes.
Zili Zhang (Huaqiao University)	A Gaussian copula joint model for longitudinal and time-to-event data with random effects
Takeshi Emura (ISM, Japan)	Factorial survival analysis for treatment effects under dependent censoring

14:40 - 15:55 Session II (Chair: Liming Xiang)

Dongdong Li (Harvard Pilgrim Health Care Institute, USA)	Proportional hazards regression models for interval-censored outcome with interval-censored covariates
Il-Do Ha (Pukyong National University, Korea)	Deep neural network for semi-parametric frailty models via h-likelihood
Xinyuan Song (The Chinese University of Hong Kong, HK)	A tree-based Bayesian accelerated failure time cure model for estimating heterogeneous treatment effect.

16:15 - 16:45 Session III (Chair: Il-Do Ha)

Liming Xiang (Nanyang Technological University, Singapore)	Multiple imputation for competing risks analysis with covariates subject to detection limits
Feng-Chang Lin (University of North Carolina at Chapel Hill, USA)	A more efficient estimator for competing risks data with missing cause of failure

Abstract

Abstract
(All speakers' photos and abstracts are available.)