Applying Competing Risks Model to Estimating the Risk Coefficient of an Acute Infectious Disease

被引：0
|
作者：
Chen Zheng [1 ]
Nakamura, Tsuyoshi [2 ]
机构：
[1] Southern Med Univ, Sch Publ Hlth & Trop Med, Dept Biostat, Guangzhou 510515, Guangdong, Peoples R China
[2] Nagasaki Univ, Grad Sch Sci & Technol, Nagasaki 8528521, Japan
来源：
COMPREHENSIVE EVALUATION OF ECONOMY AND SOCIETY WITH STATISTICAL SCIENCE | 2009年
关键词：
Risk Coefficient (Case Fatality Rate); Summarizing Data; Competing Risks Model; Maximum Likelihood; Profile Likelihood; ACUTE-RESPIRATORY-SYNDROME; CASE-FATALITY RATIO; HONG-KONG; NONPARAMETRIC-ESTIMATION; SARS;
D O I：
暂无
中图分类号：
F3 [农业经济];
学科分类号：
0202 ; 020205 ; 1203 ;
摘要：
Our life is constantly under threat of emerging or re-emerging acute infectious disease, e.g., the SARS in 2003 and the influenza A (H1N1) outbreak in 2009. Based on the readily available summarizing data of disease, this study applies survival analysis and competing risks theory to establish an estimation model of the risk coefficient (case fatality rate), and estimates the parameters using the maximum likelihood method or profile likelihood. The numerical simulations and an actual data were conducted to examine the performance of the model, and the results showed that estimating the risk coefficient (case fatality rate) is useful during an outbreak is still evolving, especially in early period.
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页码：1234 / +
页数：2
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