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Updated: Jan 28, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
因果創発の再構築された風景
Olive R Cawiding1,2, Yun Min Song1,2, Jae Kyoung Kim1,2,3
1Biomedical Mathematics Group, Institute for Basic Science, Daejeon 34126, Republic of Korea.
Abstract:
Complex systems can often be analyzed at either the microscale of their individual components or the macroscale of their collective organization, yet it remains debated which level of description offers the most meaningful causal understanding. Hoel's recent study in Patterns addresses this challenge by introducing Causal Emergence 2.0, a novel formalization showing that a system's causal workings are best described by how causal influence is distributed across its hierarchy of scales.
関連する概念動画
Causality in Epidemiology
Emerging Adulthood
Criteria for Causality: Bradford Hill Criteria - II
Criteria for Causality: Bradford Hill Criteria - I
Introduction Cardiac Emergencies
Applications of GIS: Disaster Management and Emergency Response

