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Univariate Dynamic Screening System: An Approach For Identifying Individuals With Irregular Longitudinal Behavior

Summary: [This abstract is based on the authors' abstract.] Healthcare providers and researchers often need to identify individuals whose longitudinal physiological behavior is different from the behavior of 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 considered 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 article proposes a dynamic screening system for that purpose in cases when the longitudinal behavior is univariate, using statistical process control and longitudinal data analysis techniques. Several different cases, including those with regularly spaced observation times, irregularly spaced observation times, and correlated observations, are discussed. The proposed method is demonstrated using a real-data example about the SHARe Framingham Heart Study of the National Heart, Lung and Blood Institute. This article has supplementary materials online.

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  • Topics: Statistical Process Control (SPC)
  • Keywords: Case study, Screening, Correlation, Monitoring, Statistical process control (SPC), Sampling interval, Health care, Healthcare industry
  • Author: Qiu, Peihua; Xiang, Dongdong
  • Journal: Technometrics