title: Surveillance of cardiovascular diseases using a multivariate dynamic screening system.
abstract: In the SHARe Framingham Heart Study of the National Heart, Lung and Blood Institute, one major task is to monitor several health variables (e.g., blood pressure and cholesterol level) so that their irregular longitudinal pattern can be detected as soon as possible and some medical treatments applied in a timely manner to avoid some deadly cardiovascular diseases (e.g., stroke). To handle this kind of applications effectively, we propose a new statistical methodology called multivariate dynamic screening system (MDySS) in this paper. The MDySS method combines the major strengths of the multivariate longitudinal data analysis and the multivariate statistical process control, and it makes decisions about the longitudinal pattern of a subject by comparing it with other subjects cross sectionally and by sequentially monitoring it as well. Numerical studies show that MDySS works well in practice.
authors.affiliation: Department of Biostatistics, University of Florida, Gainesville, FL, 32611, U.S.A.
authors.forename: Peihua
authors.initials: P
authors.lastname: Qiu
authors.affiliation: School of Finance and Statistics, East China Normal University, Shanghai, 200241, China.
authors.forename: Dongdong
authors.initials: D
authors.lastname: Xiang
mesh_terms: D001786:Blood Glucose / Q000032:analysis; D001794:Blood Pressure / Q000502:physiology; D002318:Cardiovascular Diseases / Q000453:epidemiology* / Q000209:etiology / Q000517:prevention & control; D002784:Cholesterol / Q000097:blood; D003198:Computer Simulation; D003430:Cross-Sectional Studies; D006801:Humans; D008137:Longitudinal Studies; D015233:Models, Statistical; D008991:Monitoring, Physiologic / Q000379:methods* / Q000706:statistics & numerical data; D015999:Multivariate Analysis; D011159:Population Surveillance / Q000379:methods*; D012307:Risk Factors; D020521:Stroke / Q000453:epidemiology / Q000209:etiology / Q000517:prevention & control
chemical_list: D001786:Blood Glucose; D002784:Cholesterol
keywords: LASSO; dynamic screening; multivariate longitudinal data; process monitoring; process screening; standardization; unequal sampling intervals