THE EMPIRICAL CONTENT OF CANONICAL MODELS OF INFECTIOUS-DISEASES - THE PROPORTIONAL HAZARD SPECIFICATION

• 成果类型: Article
• 署名作者: GEOFFARD, PY; PHILIPSON, T
• 署名单位: University of Chicago
• 刊物名称: BIOMETRIKA
• ISSN/ISSBN: 0006-3444
• 发表日期: 1995
• 页码: 101111
• 关键词: mixing models; Identifiability; populations; SPREAD

摘要

This paper discusses the falsifiable implications of the heterogeneous mixing model of infectious disease. It is shown that the model implies a proportional hazard restriction across the set of susceptible survival functions of the subpopulations. Using this implication, the testable restrictions and identification of the model are discussed when subpopulations are observable as well as unobservable.