In our daily life, we often need to identify individuals whose longitudinal patterns are different from the patterns of those well-functioning individuals, so that some unpleasant consequences can be avoided. In many such applications, observations of a given individual are obtained sequentially, and it is desirable to have a screening system to give a signal as soon as possible after that individual's longitudinal pattern starts to deviate from the regular pattern so that some adjustments or interventions can be made in a timely manner.
We propose a statistical process screening system for that purpose, using statistical process control and longitudinal data analysis techniques. Our proposed method is demonstrated using a real-data example about the SHARe Framingham Heart Study of the National Heart, Lung and Blood Institute.
This is a joint research with my former visitor Dr. Dongdong Xiang.
More information on Peihua Qiu may be found at http://biostat.ufl.edu/people/faculty/qiu-peihua/
This Colloquium is sponsored jointly by the University of Georgia Department of Statistics and the University of Georgia Department of Epidemiology and Biostatistics.