Joint modeling of time series measures and recurrent events and analysis of the effects of air quality on respiratory symptoms

doi:10.1198/016214507000000185

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	Joint modeling of time series measures and recurrent events and analysis of the effects of air quality on respiratory symptoms
	Zhang, Heping 1,2; Ye, Yuanqing ; Diggle, Peter 3,4; Shi, Jian5
	2008-03-01
发表期刊	JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
ISSN	0162-1459
卷号	103 期号:481 页码:48-60
摘要	Exposure to ambient pollutants at concentrations above defined standards is a risk factor for respiratory symptoms, especially in sensitive children. Many studies have been undertaken to monitor air quality and to assess its association with respiratory symptoms. We propose a joint mixed-effects regression model of time series measures and recurrent events to analyze the air quality and respiratory symptom data from the Yale Mothers and Infants Health Study. Three mothers' symptoms (runny nose, cough, and sore throat) and three infants' symptoms (runny nose, cough, and general sickness) were investigated. To alleviate the computational complexity, a two-stage maximum likelihood-based estimation procedure is introduced to estimate the parameters, and simulation studies are conducted to assess the validity of this estimation procedure. Our analysis reveals differences in the etiology of respiratory symptoms between mothers and infants. Most notably, coarse particles of mass between 2.5 and 10 mu in diameter increased the risks of mothers' runny nose and cough symptoms but had no significant effect on any of the three infants' symptoms. The sulfate level was negatively associated with the risk of infants' runny nose and cough symptoms but had no significant effect on any of the three mothers' symptoms. High level of humidity is negatively associated with the mothers' cough incidence but had no significant association with any of the three infants' symptoms. Such differences reveal not only the sensitivity of the mothers and infants to the air quality, but also call for further understanding of the differences. It is possible that actions taken to overcome humidity by mothers may inadvertently affect their infants.
关键词	censored data joint analysis longitudinal data recurrent event
DOI	10.1198/016214507000000185
语种	英语
WOS研究方向	Mathematics
WOS类目	Statistics & Probability
WOS记录号	WOS:000254311500013
出版者	AMER STATISTICAL ASSOC
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/6527
专题	系统科学研究所
通讯作者	Zhang, Heping
作者单位	1.Yale Univ, Sch Med, Dept Epidemiol & Publ Hlth, New Haven, CT 06520 USA 2.Jiangxi Normal Univ, Jiangxi, Peoples R China 3.Univ Lancaster, Dept Med, Lancaster LA1 4YF, England 4.Johns Hopkins Univ, Sch Publ Hlth, Dept Biostat, Baltimore, MD 21205 USA 5.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Heping,Ye, Yuanqing,Diggle, Peter,et al. Joint modeling of time series measures and recurrent events and analysis of the effects of air quality on respiratory symptoms[J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION,2008,103(481):48-60.
APA	Zhang, Heping,Ye, Yuanqing,Diggle, Peter,&Shi, Jian.(2008).Joint modeling of time series measures and recurrent events and analysis of the effects of air quality on respiratory symptoms.JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION,103(481),48-60.
MLA	Zhang, Heping,et al."Joint modeling of time series measures and recurrent events and analysis of the effects of air quality on respiratory symptoms".JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION 103.481(2008):48-60.