Statistics Seminar

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TITLE: Statistical Process Screening System: An Approach for Identifying Irregular Longitudinal Behavior

SPEAKER: Prof. Peihua Qiu


In our daily life, we often need to identify individuals whose longitudinal behavior is different from the behavior 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 of irregular behavior as soon as possible after that individual's longitudinal behavior starts to deviate from the regular behavior, 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.

Contact: Peihua Qiu <qiuxx008@umn.edu>


Dr. Qiu got his Ph.D. in statistics from the Statistics Department at University of Wisconsin at Madison in 1996. He worked as a senior research consulting statistician of the Biostatistics Center at Ohio State University during 1996-1998. Then, he worked as an assistant professor (1998-2002), an associate professor (2002-2007), and a full professor (2007-present) of the School of Statistics at University of Minnesota. He is an elected fellow of the American Statistical Association, an elected fellow of the Institute of Mathematical Statistics, an elected member of the International Statistical Institute, a senior member of the American Society for Quality, and a lifetime member of the International Chinese Statistical Association. He served as associate editor for Journal of the American Statistical Association (2006-2012), Biometrics (2011-2012),Technometrics (2007-2012), Statistical Papers (2011-2012), and guest co-editor for Multimedia Tools and Applications. He will be the Editor-Elect (2013) and Editor (2014-2016) of Technometrics.



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    Anita Race
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