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Statistical Process Screening System: An Approach for Identifying Irregular Longitudinal Patterns

Speaker

Peihua Qiu, Department of Biostatistics University of Florida

Time

2017.07.14 10:00-11:00

Venue

Middle Lecture Room, Math Building

Abstract

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.