Research Interests
Peihua Qiu's Research on Dynamic Screening Systems
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. For instance, if
the observed values of certain cardiovascular disease risk factors of a
person are significantly worse than the values of a typical healthy person
with similar age and other comparable confounding risk factors, then some
medical treatments should be taken to avoid the occurance of stroke and other
deadly cardiovascular diseases. 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. This problem is called dynamic screening (DS) problem
in our research. It has been explained in Qiu and Xiang (2014) that
the DS problem cannot be solved satisfactorily by the conventional longitudinal
data analysis (LDA) or statistical process control (SPC) methodologies. In Qiu
and Xiang (2014), we proposed a new method, called dynamic screening
system (DySS) in cases when the longitudinal behavior is univariate,
which combines the strengths of LDA and SPC and provides a satisfactory
solution to the DS problem. A multivariate version is proposed in Qiu and Xiang
(2015). DySS is a new research area, and many research problems are still
open and need much future research effort.
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