Advances in computational methods for multilevel models for time-to-event data

Research Project

Project/Area Number	25K15025
Research Category	Grant-in-Aid for Scientific Research (C)
Allocation Type	Multi-year Fund
Section	一般
Review Section	Basic Section 60030:Statistical science-related
Research Institution	Juntendo University
Principal Investigator	シャルヴァアドリアン順天堂大学, 国際教養学部, 講師 (00739716)
Project Period (FY)	2025-04-01 – 2028-03-31
Project Status	Granted (Fiscal Year 2025)
Budget Amount *help	¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000) Fiscal Year 2027: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000) Fiscal Year 2026: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000) Fiscal Year 2025: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Keywords	混合効果モデル / 生存時間分析 / 最尤推定
Outline of Research at the Start	The purpose of this project is to design efficient modelling procedures for data exhibiting a hierarchical structure (e.g., repeated measurements of a marker, patients grouped by area), as is often encountered in medical research. In particular, we will develop approaches (1) to study the impact of biomarker trends on the occurrence of a health event, and (2) to analyze the survival of patients living in different areas and treated in different hospitals. The expected benefit is the design of user-friendly and efficient software to analyze health data with complex hierarchical structures.